97
Views
20
CrossRef citations to date
0
Altmetric
Original Article

Theory: Foundations of Artificial Neural Networks

Pages 17-199 | Published online: 03 Jul 2009

References

  • AA V V. Fuzzy Sets and Applications, L. A. Zadeh. John Wiley & Sons, New York 1987, AA. VV. (eds.), 1987
  • AA VV. Advanced in Neural Information Processing. Morgan Kaufman, San Mateo, CA 1991; vol. 3, AA. VV. 1991
  • Aarts E. H.L., Korst J. H.M. Boltzmann Machines. in ARBIB 1995a, AARTS 1995
  • Abbott L. F., Marder E. Activity-Dependent Regulation of Neuronal Conductances. A Learning Algorithm for Boltzmann Machines, Cognitive Science, D. H. Ackley, G. E. Hinton, T. J. Sejnowski, 1985; 9: 147–169, in ARBIB 1995a.ACKLEY, 1985 ABBOTT 1995
  • Ackley D. H. Connectionist Machine for Genetic Hillclimbing. Kluwer, Boston 1987, ACKLEY 1987
  • Ackley D. H. Associative Learning via Inhibitory Search. in TOURETZKY 1989a, ACKLEY 1989
  • Ackley D. H., Littman M. L. Generalization and Scaling in Reinforcement Learning. in TOURETZKY 1990a, ACKLEY 1990
  • Agmon S. The Relaxation Method for Linear Inequalities. Canadian Journal of Mathematics 1954; Vol. 6: 382–392, No.3, AGMON 1954
  • Ahalt S. C., Garber F. D., Jouny I., Krishnamurthy A. K. Performance of Synthetic Neural Network Classification of Noisy Radar Signals. in TOURETZKY 1989a, AHALT 1989
  • Ahmad S., Tesauro G., He Y. Asymptotic Convergence of Backpropagation: Numerical Experiments. in TOURETZKY 1990a, AHMAD 1990
  • Aihara K. Chaos in Axons. in ARBIB 1995a, AIHARA 1995
  • Albeck Y. Sound Localization and Binaural Processing. in ARBIB 1995a, ALBECK 1995
  • Aleksander. Neural Computing Architecture, Aleksander. MIT Press, Cambridge, MA 1989, 1989:1
  • Alexander G. E. Basal Ganglia. in ARBIB 1995a, ALEXANDER 1995
  • Alkon D. L. Memory Storage and Neural Systems. Scientific American July, 1989, ALKON 1989
  • Alspector J., Gupta B., Allen R. B. Performance of a Stochastic Learning Microchip. in TOURETZKY 1989a, ALSPECTOR 1989
  • Altman E. I., Marco G., Varetto F. Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks (the italian experience). Journal of Banking and Finance 1994; 18: 505–529, ALTMAN 1994
  • Amari S. Neural Theory of Association and Concept-formation. Biological Cybernetics 1988; 26: 175–185, in ANDERSON AMARI 1977
  • Amari S. Learning and Statistical Inference. in ARBIB 1995a, AMARI 1995
  • Anandkumar, Szu H. Telecommunications. in ARBIB 1995a, ANANDKUMAR 1995
  • Anastasio T. J. Vestibulo-Ocular Reflex: Performance and Plasticity. in ARBIB 1995a, ANASTASIO 1995
  • Anderson C. H., Olshausen B. A., von Essen D. Routing Networks in Visual Cortex. in ARBIB 1995a, ANDERSON 1995
  • Anderson J. A. A Simple Neural Network Generating an Interactive Memory. Mathematical Biosciences 1972; 14: 197–220, ANDERSON 1972
  • Anderson J. A., Silverstein J. W., Ritz S. A., Jones R. S. Distinctive Features, Categorical Perception, and Probability Learning: Some Applications of a Neural Model. Psychological Review 1988; 84: 413–451, in ANDERSON ANDERSON 1977
  • Neurocomputing Foundations of Research, J. A. Anderson, E. Rosenfeld. The MIT Press, Cambridge, Massachusetts, London, England 1988, ANDERSON 1988
  • Anderson J. A. Associative Networks. in ARBIB 1995a, ANDERSON 1995a
  • Anderson J. A. Mental Arithmetic Using Neural Networks. in ARBIB 1995a, ANDREOU, 1989: Andreou A. G. Electronic Receptors for Tactile/Haptic Sensing, in TOURETZKY 1989a ANDERSON 1995b
  • Anthony M., Biggs N. AC Learning and Neural Networks. in ARBIB 1995a, ANTHONY 1995
  • Aoki C., Siekevitz P. Plasticity in Brain Development. Scientific American December, 1988, AOKI 1988
  • Arbib M. A. Brains, Machines and Mathematics, 2nd Edition. Springer Verlag, New York 1987, ARBIB 1987
  • The Handbook of Brain Theory and Neural Networks, M. A. Arbib. A Bradford Book, The MIT Press, Cambridge, Massachusetts, London, England 1995, ARBIB 1995a
  • Arbib M. A. Parti: Background, Part II: Road Maps. in ARBIB 1995a, ARBIB 1995b
  • Arcidiacono G. The De Sitter Universe and Projective Relativity. Relativistic Astrophisies and Cosmology, V. De Sabbata, T. M. Karade. World Scientific, Singapore 1984; 64–88, ARCIDIACONO 1984
  • Arcidiacono G. Projective Relativity, Cosmology and Gravitation. Hadronic Press, Cambridge, MA 1986, ARCIDIACONO 1986
  • Arcidiacono G., Arcidiacono S. Entropia, Sintropia, Informazione. Di Renzo, Rome 1991, Entropy, Sintropy, Information ARCIDIACONO 1991
  • Arizono I., Yamamoto A., Ohta H. Scheduling for Minimizing Total Actual Flow Time by Neural Networks. International Journal of Production Research 1992; 30: SOS-51, ARIZONO 1992
  • Arkin R. C. Reactive Robotic Systems. in ARBIB 1995a, ARKIN 1995
  • Ash T., Cottrell G. Topology-Modifying Neural Network Algorithms. in ARBIB 1995a, ASH 1995
  • Aström K. J. Adaptive Control: General Methodology. in ARBIB 1995a., ATIYA, 1990: A. Atiya and Y. Abu-Mostafa,A Method fot the Associative Storage of Analog Vectors, in TOURETZKY 1990a ÅSTRÖM 1995
  • Atkeson C. G. Using local Models to Control Movement. in TOURETZKY 1990a, ATKESON 1990
  • Atlas L., Cole R., Connor J., El-Sharkawi M., Marks R. J, II., Muthusamy Y., Barnad E. Performance Comparisons Between Backpropagalion Networks and Classification Trees on Three Real-World Applications. in TOURETZKY 1990a, ATLAS 1990a
  • Atlas L., Cohn D., Ladner R. Training Connectionist Networks with Queries and Selective Sampling. in TOURETZKY 1990a, ATLAS 1990b
  • Aubin J. P. Learning as Adaptive Control of Synaptic Matrices. in ARBIB 1995a, AUBIN 1995
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.11–5.12, AUTOMATED DATA ENTRY 1993
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.13–5.14, AUTOMATED DATA ENTRY 1993
  • Avelda P., San Martin A. M. Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control. in TOURETZKY 1989a, AVELDA 1989
  • Aylor S., Rabelo L., Alptekin S. Artificial Neural Networks for Robotics Coordinate Transformation. Computers & Industrial Engineering 1992; 22: 481–493, AYLOR 1992
  • Bachrach J. R., Mozer M. C. Connectionist Modeling and Control of Finite State Systems Given Partial State Information. in CHAUVIN 1995, BACHRACH 1995
  • Baird B. Associative Memory in a Simple Model of Oscillating Cortex. in TOURETZKY 1990a, BAIRD 1990
  • Baldi P. Linear Learning: Landscapes and Algorithms. in TOURETZKY 1989a, BALDI 1989
  • Baldi P., Chauvin Y. When Neural Networks Play Sherlock Holmes. in CHAUVIN 1995, BALDI 1995a
  • Baldi P. Gradient Descent Learning Algorithms: A Unified Perspective. in CHAUVIN 1995, BALDI 1995b
  • Baldi P., Chauvin Y., Hornik K. Backpropagation and Unsupervised Learning in Linear Networks. in CHAUVIN 1995, BALDI 1995c
  • Banquet J. P, Grossberg S. Probing Cognitive Processes Through the Structure of Event–Related Potentials: an Experimental and Theoretical Analysis. in CARPENTER 1991, BANQUET 1991
  • Bansal A., Kauffinan R. J., Weitz R. R. Comparing the Modeling Performance of Regression and Neural Networks as Data Quality Varies: a Business Value Approach. Journal of Management Informations Systems 1993; 10: 11–32, BANSAL 1993
  • Bargas J., Calarraga E. Ion Channels: Keys to Neuronal Specialization. in ARBIB 1995a, BARGAS 1995
  • Barhen J., Toomarian N., Gulati S. Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks. in TOURETZKY 1990a, BARHEN 1990
  • Barnden J. A. Artificial Intelligence and Neural Networks. in ARBIB 1995a, BARNDEN 1995a
  • Barnden J. A. Semantic Networks. in ARBIB 1995a, BARNDEN 1995b
  • Baron. Cerebral Computer: Introduction to Computational Structure of the Human Brain. Hills Dale, N.J. 1987, BARON 1987
  • Barr D. S., Mani G. Using Neural Nets to Manage Investments. AI Expert 1994; 9: 16–21, BARR 1994
  • Bartha G. T., Thompson R. F. Cerebellum and Conditioning. in ARBIB 1995a, BARTHA 1995
  • Barto A. G., Sutton R. S., Anderson C. W. Neuronlike Adaptive Elements that Can Ssolve Difficult Learning Control Problems. IEEE Transactions on Systems, Man and Cybernetics SMC- 1988; 13: 834–846, in ANDERSON BARTO 1983
  • Barto A. G., Singh S. P. On the Computational Economics of Reinforcement Learning. in TOURETZKY 1990d, BARTO 1990a
  • Barto A. G., Sutton R. S., Watkins C. J.C.H. Sequential Decision Problems and Neural Networks. in TOURETZKY 1990a, BARTO 1990b
  • Barto A. G. Learning as Hill-Climbing in Weight Space. in ARBIB 1995a, BARTO 1995a
  • Barto A. G. Reinforcement Learning in Motor Control. in ARBIB 1995a, BARTO 1995c
  • Barto A. G. Reinforcement Learning. in ARBIB 1995a, BARTO 1995b
  • Bastian J. Electrolocation. in ARBIB 1995a, BASTIAN 1995
  • Baum E. B., Haussler D. What Size Net Gives Valid Generalization?. in TOURETZKY 1989a, BAUM 1989
  • Baum E. B. The Perceptron Algorithm Is Fast for Non-malicious Distributions. in TOURETZKY 1990a, BAUM 1990
  • Beale R., Jackson T. Neural Computing: An Introduction. Adam Hilger, Bristol, UK. 1990, BEALE 1990
  • Beaverstock M., Wolkina K. Neural Network Helps G-P Ashdown Mill Improve Brownstock Washer Operation. Pulp & Paper 1992; 66: 134–136, BEAVERSTOCK 1992
  • Becker S., Hinton G. E. Spatial Coherence as an Internal Teacher for a Neural Network. in CHAUVIN 1995, BECKER 1995a
  • Becker S. Unsupervised Learning with Global Objective Functions. in ARBIB 1995a, BECKER 1995b
  • Beeman M., Ortony A., Monti L. A. Emotion-Cognition Interactions. in ARBIB 1995a, BEEMAN 1995
  • Beer R. D., Chiel H. J., Sterling L. S. Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments. in TOURETZKY 1989a, BEER 1989
  • Beer R. D., Chiel H. J. Neural Implementation of Motivated Behavioir: Feeding in an Artificial Insect. in TOURETZKY 1990a, BEER 1990
  • Beer R. D., Chiel H. J. Locomotion, Invertebrate. in ARBIB 1995a, BEER 1995
  • Bekey G. A. Walking. in ARBIB 1995a, BEKEY 1995
  • Bell. Learning in Higher-Order 'Artificial Dendritic Trees. in TOURETZKY 1990a, BELL 1990
  • Bengio Y., De Mori R., Cardin R. Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. in TOURETZKY 1990a, BENGIO 1990a
  • Bengio Y., Bengio S., Pouliot Y., Agin P. Neural Network to Detect Homologies in Proteins. in TOURETZKY 1990a, BENGIO 1990b
  • Bengio Y. Neural Networks for Speech and Sequence Recognition. A Division of International Thomson Publishing Inc. 1996, BENGIO 1996
  • Bennani Y. Speaker Identification. in ARBIB 1995a, BENNANI 1995
  • Bennett D. On Modelling Some Aspects of Higher Level Vision. in TOURETZKY 1990d, BENNETT 1990
  • Bialek W., Rieke F., de Ruyter R. R., van Steveninck, Warland D. Reading a Neural Code. in TOURETZKY 1990a, BIALEK 1990
  • Bienenstock E. L., Cooper L. N., Munro P. W. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. Journal of Neuroscience 1988; 2: 32–48, in ANDERSON BIENENSTOCK 1982
  • Bienenstock E., Geman S. Compositionality in Neural Systems. in ARBIB 1995a, BIENENSTOCK 1995
  • Bilbro G., Mann R., Miller T. K., Snyder W. E., Van den Bout D. E., White M. Optimization by Mean Field Annealing. in TOURETZKY 1989a, BILBRO 1989a
  • Bilbro G. L., Snyder W. E. Range Image Restoration Using Mean Field Annealing. in TOURETZKY 1989a, BILBRO 1989b
  • Bishop C. M. Neural Networks for Pattern Recognition. Oxford University Press. 1995, BISHOP 1995
  • Blake A. Active Vision. in ARBIB 1995a, BLAKE 1995
  • Block H. D. The Perception: a Model for Brain Functioning. I. Review of Modern Physics 1988; 34: 123–135, in ANDERSON BLOCK 1962
  • Blum A. Neural Networks in C ++. An Object-Oriented Framework for Building Connectionist Systems. John Wiley & Sons, New York 1992, BLUM 1992
  • Borst R. A. Artificial Neural Networks: The Next Modeling/Calibration Technology for the Assessment Community. Artificial Neural Networks 1991; 10: 69–94, BORST 1991
  • Borst A., Egelhaaf M. Visuomotor Coordination in Files. in ARBIB 1995a, BORST 1995
  • Boullart L., Krugsman A., Vingerhoeds R. A. Application of Artificial Intelligence in Process Control. Pergamon, OxfordUK 1992, BOULLART 1992
  • Bourland H., Morgan N. A Continuous Speech Recognition System Embedding MLP Into HMM. in TOURETZKY 1990a, BOURLARD 1990
  • Bourland H., Morgan N. Speech Recognition: Pattern Matching. in ARBIB 1995a, BOURLAND 1995
  • Braitenberg V. Neural Architecture. in TOURETZKY 1989a, BRAITENBERG 1989
  • Bridgeman B. Dissociations Between Visual Processing Model. in ARBIB 1995a, BRIDGEMAN 1995
  • Bridle J. S. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition. Neuro-computing: Algorithms, Architectures, F Fogelman-Soulié, J. Hérault. Springer-Verlag, New York 1989a, BRIDLE
  • Bridle J. S. Speech Recognition: Statistical and Neural Information Processing Approaches. in TOURETZKY 1989a, BRIDLE 1989b
  • Bridle J. S. Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual information Estimation of Parameters. in TOURETZKY 1990a, BRIDLE 1990
  • Brodie S. E., Knight B. W., Ratliff F. The Response of the Limulus Retina to Moving Stimuli: A Prediction by Fourier Synthesis. Journal of General Physiology 1988; 72: 129–154; 162–166, in ANDERSON BRODIE 1978
  • Brown M., Rogers S. J. User Identification Via Keystroke Characteristics of Typed Names Using Neural Networks. International Journal of Man-Machine Studies 1993; 39: 999–1014, BROWN 1993
  • Brown T. H., Chattarji S. Hebbian Synaptic Plasticity. in ARBIB 1995a, BROWN 1995
  • Brownolow M., Tarassenko L., Murray A. F., Hamilton A., Han I. S., Reekie H. M. Pulse-Firing Neural Chips for Hundreds of Neurons. in TOURETZKY 1990a, BROWNLOW 1990
  • Buhmann J. M. Data Clustering and Learning. in ARBIB 1995a, BUHMANN 1995a
  • Buhmann J. M. Oscillatory Associative Memories. in ARBIB 1995a, BUHMANN 1995b
  • Bullock D. Motoneuron Recruitment. in ARBIB 1995a, BULLOCK 1995
  • Burges C. J. C. Handwritten Digit String Recognition. in ARBIB 1995a, BURGES 1995
  • Burgess N., Recce M., O'Keefe J. Hippocampus: Spatial Models. in ARBIB 1995a, BURGESS 1995
  • Burke L. I. A Neural Design for Solution of the Maximal Independent Set Problem. European Journal of Operational Research 1992; 62: 186–193, BURKE 1992
  • Burke L. I. An Unsupervised Neural Network Approach to Tool Wear Identification. HE Transactions 1993; 25: 16–25, BURKE 1993
  • Burks A. W. Self-Reproducing Automata. in ARBIB 1995a, BURKS 1995
  • Buscema M. The Brain Within The Brain T.P. n. Semeion, Rome 1990; 9, BUSCEMA 1990
  • Buscema M. Dalle Macchine alle Reti, T.P. n. 13. Semeion, Rome 1991, [From Machine to Networks].BUSCEMA 1991a
  • Buscema M., Massini G. MQ QUANT. Predictional Model for the analysis of communication in small group, Semeion Software n. 2, vers. 3.0. Rome 1991, BUSCEMA 1991b
  • Buscema M. SQUASH 1.0. Shell for program Feed Forward Neural Networks, Semeion Software n. 5. Rome 1992, BUSCEMA 1992
  • Buscema M, Massini G, II. Modello MQ. Collana Semeion. Armando, Rome 1993, [The MQ Model: Neural Networks and Interpersonal Perception, Semeion Collection by Armando Publisher].BUSCEMA 1993
  • Buscema M., Didone G., Pandin M. Reti Neurali AuloRiflessive, Teoria, Metodi, Applicazioni e Confronti. Quaderni di Ricerca, Armando Editore, n.1, Rome 1994, [Self-Reflexive Neural Networks: Theory, Methods, Applications and Comparison, Semeion Research-books by Armando Publisher, n.1]BUSCEMA 1994a
  • Buscema M. Squashing Theory. Modello a Reti Neurali per la Previsione dei Sistemi Complessi. Collana Semeion. Armando, Rome 1994, [Squashing Theory: A Neural Network Model for Prediction of Complex Systems, Semeion Collection by Armando Publisher].BUSCEMA 1994b
  • Buscema M. Le Reti AuloRiflessive. Teoria, Topologia e Usi. in BUSCEMA 1994a; 9–74, [Self-Reflexive Networks. Theory, Topology and Applications].BUSCEMA 1994c
  • Buscema M. Constraint Satisfaction Networks. in BUSCEMA 1994a; 93–126, BUSCEMA 1994d
  • Buscema M. Schema. Shell for program Constraint Satisfaction and Recirculation Neural Networks, Semeion Software n.6 Rome, 1994, BUSCEMA 1994e
  • Buscema M. Self-Reflexive Networks. Theory, Topology, Applications. in Quality & Quantity, Kluwer Academic Publishers. Dordtrecht, The Netherlands November, 1995; vol 29(4): 339–403, BUSCEMA 1995a
  • Buscema M. Constraint Satisfaction and Recirculation Neural Networks. Semeion, Rome 1995, T.P. n.18, BUSCEMA 1995b
  • Buscema M. MAPS. Semeion Software n. 7, Rome 1996, BUSCEMA 1996
  • Buscema M. A General Presentation of Artificial Neural Networks. in Substance Use & Misuse. Marcel Dekker, Inc., New York 1997; 32(1): 97–112, BUSCEMA 1997a
  • Buscema M. The Sonda Project: Prevention, Prediction, and Psychological Disorder. in Substance Use & Misuse. Marcel Dekker, Inc., New York 1997; 32(9): 1047–1147, BUSCEMA 1997b
  • Buscema M., Matera F., Nocentini T., Sacco P. L. Reti Neurali e Finanza. Esercizi, Idee, Metodi, Applicazioni. Quaderni di Ricerca. Armando, Rome, n.2, [Neural Networks and Finance. Exercises, Ideas, Methods, Applications, Semeion Research-book by Armando Publisher, n.2].BUSCEMA 1997c
  • Byrne J. H., Crow T. Invertebrate Models of Learning Aplysia and Hermissenda. in ARBIB 1995a, BYRNE 1995
  • Calabrese R. L. Half-Center Oscillators Underlying Rhythmic Movements. in ARBIB 1995a, CALABRESE 1995
  • Calvin W. H. Cortical Columns, Modules, and Hebbian Cell Assemblies. in ARBIB 1995a, CALVIN 1995
  • Carpenter G. A., Grossberg S. Pattern Recognition by Self-Organizing Neural Network. MIT Press, Cambridge, MA. 1991, CARPENTER 1991a
  • Carpenter G. A. Neural Network Models for Pattern Recognition and Associative Memory. in CARPENTER 1991, CARPENTER 1991b
  • Carpenter G. A., Grossberg S. A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. in CARPENTER 1991, CARPENTER 1991c
  • Carpenter G. A., Grossberg S. Art 2: Self-Organization of Stable Category Recognition Codes for Analog Input Pattern. in CARPENTER 1991, CARPENTER 1991d
  • Carpenter G. A., Grossberg S. Art 3: Hierarchical Search Using Chemical Transmitters in Self-Organizing Pattern Recognition Architectures. in CARPENTER 1991, CARPENTER 1991e: G. A. Carpenter, S. Grossberg, and J. H. Reynolds, Artmap: Supervised Real-Time Learning and Classification of Nonstationary Data by a Self-Organizing Neural Network, in CARPENTER 1991.
  • Carpenter G. A., Grossberg S. Adaptive Resonance Theory. in ARBIB 1995a, CARPENTER 1991 f
  • Carter M. J., Rudolph F. J., Nucci A. J. Operational Fault Tolerance of CMAC Networks. in TOURETZKY 1990a, CARTER 1990: CARPENTER 1995
  • Casti J. L. Complexification. Explaining a Paradoxical World Through the Science of Surprise. Harper Collins Publishers, New York 1994, CASTI 1994
  • Caudil H., Butler C H. Naturally Intelligent Systems. MIT Press, Cambridge, MA. 1990, CAUDIL 1990
  • Caudil M., Butler C. Understanding Neural Networks: Computer Explorations. Basic Networks, MIT Press, Cambridge, MA. 1992; Volume 1, CAUDIL 1992
  • Cervantes-Perez F. Visuomotor Coordination in Frogs and Toads. in ARBIB 1995a, CERVANTES-PÉREZ 1995
  • Chakraborty K., Roy U. Connectionist Models for Part-Family Classifications. Computers &Industrial Engineering 1993; 24: 189–198, CHAKRABORTY 1993
  • Chalmers D. J. The Evolution of Learning: An Experiment in Genetic Cormectionism. in TOURETZKY 1990d, CHALMERS 1990
  • Changeux, Changeux J. P. L'Homme Neuronal. Librairie Artheme Fayard 1983, 1983
  • Chauvin Y. Dynamic Behavior of Constrained Back-Propagation Networks. in TOURETZKY 1990a, CHAUVIN 1990
  • Backpropagation: Theory, Architectures, and Applications, Y. Chauvin, D E Rumelhart. Lawrence Erlbaum Associates, Inc. Publishers, 365 Brodway, Hillsdale, New Jersey 1995, CHAUVIN 1995
  • Chen J. R. A Compositional Connectionist Architecture. in TOURETZKY 1990d, CHEN 1990
  • Chen C. L. P., Pao Y. H. An Integration of Neural Network and Rule-Based Systems for Design and Planning of Mechanical Assemblies. IEEE Transactions on Systems, Man and Cybernetics 1993; 23: 1359–1371, CHEN 1993a
  • Chen C. L. P., Tsai R., Liang S. S. A Neural-Net Approach to Economic Power Dispatch. Computers in Industry 1993; 21: 131–138, CHEN 1993b
  • Chernjavsky A., Moody J. Note on Development of Modularity in Simple Cortical Models. in TOURETZKY 1990a, CHERNJAVSKY 1990
  • Chiueh T., Goodman R. M.V. LSI Implementation of a High-Capacity Neural Network Associative Memory. in TOURETZKY 1990a, CHIUEH 1990
  • Chrisley R. L. Cognitive Map Costruction and Use: A Parallel Distributed Processing Approach. in TOURETZKY 1990d, CHRISLEY 1990
  • Chryssolouris G., Lee M., Domroese M. The Use of Neural Networks in Determining Operational Policies for Manufacturing Systems. Journal of Manufacturing Systems 1991; 10: 166–175, CHRYSSOLOURIS 1991
  • Chu C H, Widjaja D. Neural Network System for Forecasting Method Selection. Decision Support Systems 1994; 12: 13–24, CHU 1994a
  • Chu X., Holm H. Product Manufacturability Control for Concurrent Engineering. Computers in Industry 1994; 24: 29–38, CHU 1994b
  • Chung Y., Kusiak A. Grouping Parts with a Neural Network. Journal of Manufacturing Systems 1994; 16: 262–275, CHUNG 1994
  • Churchland P. M., SmithChurchland P. Could a Machine Think?. Scientific American, vol. January, 1990; 262 (1), CHURCHLAND 1990
  • Churchland P. S., Sejnowski T. J. The Computational Brain. the MIT Press, CA/MA. 1992, CHURCHLAND 1992
  • Ciarrocca Lee S. Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia. in TOURETZKY 1990a, CIARROCCA LEE 1990
  • Clark A. Philosophical Issues in Brain Theory and Connectionism. in ARBIB 1995a, CLARK 1995
  • Cleeremans A., Servan-Schreiber D., McClelland J. L. Graded State Machines: The Representation of Temporal Contingencies in Feedback Networks. in CHAUVIN 1995, CLEEREMANS 1995
  • Cliff D. Neuroethology, Computational. in ARBIB 1995a, CLIFF 1995
  • Coats P. K. A Neural Network Approach to Forecasting Financial Distress. The Journal of Business Forecasting 1991–92; 10: 9–12, COATS 1991–92
  • Coats P. K., Fant L. F. Recognizing Financial Distress Patterns Using a Neural Network Tool. Financial Management 1993; 22: 142–155, COATS 1993
  • Cohen M. A., Grossberg S., Stork D. Speech Perception and Production by a Self-Organizing Neural Network. in CARPENTER 1991, COHEN 1991
  • Cohn D. A Local Approach to Optional Queries. in TOURETZKY 1990d, COHN 1990
  • Collins J. M., Clark M. R. An Application of the Theory of Neural Computation to the Prediction of Workplace Behavior: an Illustration and Assessment of Network Analysis. Personnel Psychology 1993; 46: 503–524, COLLINS 1993
  • Collins A., Evans A. Aircraft Noise and Residential Property Values: an Artificial Neural Network Approach. Journal of Transport Economics and Policy 1994; 28: 175–197, COLLINS 1994
  • Collins J. J. Gait Transitions. in ARBIB 1995a, COLLINS 1995
  • Conrad M., Zauner K. P. Biomaterials for Intelligent Systems. in ARBIB 1995a, CONRAD 1995
  • Cook D. F., Shannon R. E. A Predictive Neural Network Modelling System for Manufacturing Process Parameters. International Journal of Production Research 1992; 30: 1537–1550, COOK 1992
  • Cook J., Murray J. D. Pattern Formation, Biological. in ARBIB 1995a, COOK 1995
  • Cooper L. N. A possible organization of animal memory and learning. Proceedings of the Nobel Symposium on Collective Properties of Physical Systems, B Lundquist, S Lundquist. Academic Press, New York 1988; 252–264, in ANDERSON COOPER 1973
  • Cosnard M. Parallel Computational Models. in ARBIB 1995a, COSNARD 1995
  • Cottrell G. W. Extracting Features from Faces Using Compression Networks: Face, Identity, Emotion, and Gender Recognition Using Holons. in TOURETZKY 1990d, COTTRELL 1990
  • Cowan J. D., Sharp D. H. Neural Nets. in Quarterly Reviews of Biophysics, Printed in GB 1988; 365–427, COWAN 1988
  • Cowan J. D., Friedman A. E. Development and Regeneration of Eye-Brain Maps: A Computational Model. in TOURETZKY 1990a, COWAN 1990a
  • Cowan J. D. Neural Networks: The Early Days. in TOURETZKY 1990a, COWAN 1990b
  • Cowan J. D. Fault Tolerance. in ARBIB 1995a, COWAN 1995a
  • Cowan J. D., Friedman A. E. Development and Regeneration of Eye-Brain Maps. Fault Tolerance. in ARBIB 1995a, COWAN 1995b
  • Cox E. D. Handbook on Fuzzy Logic. Charles River Media, Inc. 1992, COX 1992
  • Cox E. D. Fuzzy Logic for Business and Industry. Charles River Media, Inc. 1995, COX 1995
  • Crair M. C., Bialek W. Non-Boltzmann Dynamics in Networks of Spiking Neurons. in TOURETZKY 1990a, CRAIR 1990
  • Cramer F. “Chaos und Ordnung”. Deutsche Verlags. Anstalt GMbh, Stuttgart 1988, CRAMER 1988
  • D77 Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.1–5.2, CREDIT RISK MANAGEMENT 1993
  • Crepel F., Hemart N., Jaillard D., Daniel H. Long-Term Depression in the Cerebellum. in ARBIB 1995a, CREPEL 1995
  • Crick F. H.C. Function of the thalamic reticular complex: the searchlight hypothesis. Proceedings of the National Academy of Sciences. 1988; 81: 4586–4590, in ANDERSON CRICK 1984
  • Crick F. H.C., Asanuma C. Certain Aspects of the Anatomy and Physiology of the Celebral Cortex. in RUMELHART 1986a; vol. 2., CRICK 1986
  • Crick F. H.C. The Recent Excitement About Neural Networks. Nature 12 January, 1989; 337, CRICK 1989
  • Crowder R. S., III. Prediction the Mckey-Glass Time series with Cascade-Correlation Learning. in TOURETZKY 1990d, CROWDER 1990
  • Cui X., Shin K. G. Intelligent Coordination of Multiple Systems with Neural Networks. IEEE Transactions on Systems, Man and Cybernetics 1991; 21: 1488–1497, CUI 1991
  • Currie K. R. An Intelligent Grouping Algorithm for Cellular Manufacturing. Computers & Industrial Engineering 1992; 23: 109–112, DAGLI, 1991: C. H. Dagli, S. Lammers, and M. Vellanki, Intelligent Scheduling in Manufacturing Using Neural Networks, Journal of Neural Network Computing, 2, 4–10, 1991 CURRIE 1992
  • Dagli C. H., Sittisathanchai S. Genetic Neuroschedular for Job Shop Scheduling, Computers & Industrial Engineering 1993; 25: 267–270, DAGLI 1993
  • Dagli C. H. Artificial Neural Networks for Intelligent Manufacturing. Chapman & Hall, LondonUK 1994, DAGLI 1994
  • Damodaran P. S., Kolli S. S., Alexander S. M. The Investigation of New Approaches to Business Data Analysis. Computers & Industrial Engineering 1993; 25: 545–548, DAMODARAN 1993
  • Darken C. J. Stochastic Approximation and Neural Network Learning. in ARBIB 1995a, DARKEN 1995
  • Dasgupta C. G., Dispensa G. S., Ghose S. Comparing the Predictive Performance of a Neural Network Model with Some Traditional Market Response Models. International Journal of Forecasting 1994; 10: 235–244, DASGUPTA 1994
  • Daugman J., Downing C. Gabor Wavelets for Statistical Pattern Recognition. in ARBIB 1995a, DAUGMAN 1995
  • Davidoff J. Color Perception. in ARBIB 1995a
  • Davies P. The Cosmic Blueprint. Simon and Schuster, New York 1989, DAVIDOFF 1995.
  • Davis L. Mapping Classifier Systems Into Neural Netw DA VIES 1989: orks. in TOURETZKY 1989a, DAVIS 1989
  • Davis L. Handbook of Genetic Algorithms, Van Nostrand Reinhold. ITP 1991, DAVIS 1991
  • Day S. P., Camporese D. S. A VLSI Neural Network with On-Chip Learning. in TOURETZKY 1990d, DAY 1990
  • Dayan P. Reinforcement Comparison. in TOURETZKY 1990d, DAY AN 1990
  • Dean J., Cruse H. Motor Pattern Generation. in ARBIB 1995a, DEAN 1995
  • Deboeck G. J. Pre-Processing and Evaluation of Neural Nets for Trading Stocks. ATD August, 1992; vol. 1: 1–12, DEBOECK 1992a
  • Deboeck T., Deboeck G. J. Genetic Optimization of Neural Nets for Trading. ATD October, 1992; vol. 1: 1–9, DEBOECK 1992b
  • Deboeck G. J. Response to Why Can't I Make Money with my Neural Net?. ATD February, 1993; vol. 2: 17, DEBOECK 1993
  • Delbruck T., Mead C. A. An Electronic Photoreceptor Sensitive to Small Changes in Intensity. in TOURETZKY 1989a, DELBRÜCK 1989
  • Dembo A., Siu K. Y., Kailath T. Complexity of Finite Precision Neural Network Classifier. in TOURETZKY 1990a, DEMBO 1990
  • Denby B. High-Energy Physics. in ARBIB 1995a, DENBY 1995
  • Deng P. S. Automating Knowledge Acquisition and Refinement for Decision Support: a Connectionist Inductive Inference Model. Decision Sciences 1993; 24: 371–393, DENG 1993
  • Neural Networks for Computing, Y Denker. AIP, New York 1986, DENKER 1986
  • Denker J. S., Gardner W. R., Graf H. P., Henderson D., Howard R. E., Hubbard W., Jackel L. D., Baird H. S., Guyon I. Neural Network Recognizer for Hand-Written Zip Code Digits. in TOURETZKY 1989a, DENKER 1989
  • Destexhe A., Mainen Z. F., Sejnowsky T. J. Synaptic Currents, Neuromodulation, and Kinetic Models. in ARBIB 1995a, DESTEXHE 1995
  • Devaney R. L. A First Course in Chaotic Dynamical Systems: Theory and Experiment Reading. Addison-Wesley, MA. 1992, DEVANEY 1992
  • Devor M. Pain Networks. in ARBIB 1995a, DEVOR 1995
  • DeWeerth S. P., Mead C. A. An Analog VLSI Model of Adaptation in the Vestibulo-Ocuar Reflex. in TOURETZKY 1990a, DEWEERTH 1990
  • Dickinson P. S. Neuromodulation in Invertebrate Nervous Systems. in ARBIB 1995a, DICKINSON 1995
  • Do A. Q., Grudnitski G. A Neural Network Approach to Residential Property Appraisal. The Real Estate Appraiser 1992; 58: 38–45, DO 1992
  • Dominey P. F., Vindras P., Prablanc C., Pelisson D. Eye-Hand Coordination in Reaching Movements. in ARBIB 1995a, DOMINEY 1995
  • Donnett J., Smithers T. Neuronal Group Selection Theory: A Grounding in Robotics. in TOURETZKY 1990a, DONNETT 1990
  • Dorman C., Gaudiano P. Motivation. in ARBIB 1995a, DORMAN 1995
  • Douglas R., Mahowald M. Silicon Neurons. in ARBIB 1995a, DOUGLAS 1995
  • Doutriaux A., Zipser D. Unsupervised Discovery of Speech Segments Using Recurrent Networks. in TOURETZKY 1990d, DOUTRIAUX 1990
  • Doya K. Recurrent Networks: Supervised Learning. in ARBIB 1995a, DOYA 1995
  • Neural Computing Applications Portfolio. JFIT, LondonUK 1993, DTI 1993
  • Durfee E. H. Distributed Artificial Intelligence. in ARBIB 1995a, DURFEE 1995
  • Eckmiller R., Malsburg C. H. Neural Computers. Springer-Verlag, Berlin 1988, ECKMILLER 1988
  • Edelman G. M. Neural Darwinism, the Theory of Neuronal Group Selection. Basic Books Inc., N.YorkUSA 1987, EDELMAN 1987
  • Edelman G. M. Topobiology. An Introduction to Molecular Embryology. Basic Book, Inc., New York, USA 1988, Published by Arrangement with Basic Book, Inc. EDELMAN 1988
  • Edelman G. M. Bright Air, Brilliant Fire. On the Matter of the Mind. Basic Books, USA 1992, EDELMAN 1992
  • Edelman S., Weiss Y. Vision: Hyperacuity. in ARBIB 1995a, EDELMAN 1995
  • Elman J. L., Rumelhart D. E. Advanced in Connectionist Theory: Speech. Erlbaum, Hillsdale, NJ, ELMAN 1989
  • Elman J. L. Finding Structure in Time. in Cognitive Science, 14: 179–211., ELMAN 1990
  • Elman J. L. Language Processing. in ARBIB 1995a
  • Engel A., Zippelius A. Statistical Mechanics of Learning. in ARBIB 1995a, ELMAN 1995.
  • Ermentrout G. B. Phase-Plane Analysis of Neural Activity ENGEL 1995. in ARBIB 1995a, ERMENTROUT 1995
  • Everly R. D. Neural Net Learning Parameters. ATD October., 1992; vol. 1: 18–20, EVERLY 1992
  • Ewert J. P. Command Neurons and Common Systems. in ARBIB 1995a, EWERT 1995
  • Fabbri G., Orsini R. Rett Neurali per le Scienze Economiche. Franco Muzzio Editore, Padova 1993, [Neural Networks for Economic Sciences].FABBRI 1993
  • Fahlman S. E. An Empirical Study Of Learning Speed In Back-Propagation Networks. CMV Technical Report, CMV-CS-88–162 1988, FAHLMAN 1988
  • Fahlman S. E., Lebiere C. The Cascade-Correlation Learning Architecture. in TOURETZKY 1990a, FAHLMAN 1990
  • Fantappie L. Su una Nuova Teoria di Relativila Finale. Rend. Accademia dei Lincei, Rome November, 1954, [On a New Theory of Final Relativity],FANTAPPIE' 1954
  • Fantappié L. Principi di una Teoria Unitaria del Mondo Fisico e Biologico (1944, original). Di Rienzo, Rome 1991, [Principles for an Unified Theory of the Physical and Biological World].FANTAPPIE' 1991
  • Farhat N. H., Psaltis D., Prata A., Pack E. Optical implementation of the Hopfleldmodel. Applied Optics 1988; 24: 1469–1475, in ANDERSON FARHAT 1985
  • Farotimi O., Dembo A., Kailath T. Neural Network Weight Matric Synthesis Using Optimal Control Techniques. in TOURETZKY 1990a, FAROTIMI 1990
  • Fausett L. Fundamentals of Neural Networks: Architectures, Algorithms, and Applications. Prentice Hall, Englewood, Cliffs, NJ. 1994, FAUSETT 1994
  • Favorov O. V., Kelly D. G. Somatosensory System. in ARBIB 1995a, FAVOROV 1995
  • Feld D., Eisenberg J., Lewis E. A Passive Shared Element Analog Electrical Cochlea. in TOURETZKY 1989a, FELD 1989
  • Feldman J. A., Ballard D. H. Connectionist models and their properties. Cognitive Science 1988; 6: 205–254, in ANDERSON FELDMAN 1982
  • Fetz E. E., Shupe L. E. Dynamic Models of Neurophisiological Systems. in ARBIB 1995a, FETZ 1995
  • Field D. J. Visual Coding, Redundancy, and “Feature Detection”. in ARBIB 1995a, FIELD 1995
  • Flash T., Hogan N. Optimization Principles in Motor Control. in ARBIB 1995a, FLASH 1995
  • Fletcher D., Goss E. Forecasting with Neural Networks: an Application Using Bankruptcy Data. Information & Management 1993; 24: 159–167, FLETCHER 1993
  • Florence S. L., Kaas J. H. Somatotopy: Plasticity of Sensory Maps. in ARBIB 1995a, FLORENCE 1995
  • Fogelman-Soulié F. Applications of Neural Networks. in ARBIB 1995a, FOGELMAN-SOULIE, 1995
  • Földiák P., Young M. P. Sparse Coding in the Primate Cortex. in ARBIB 1995a, FÖLDIAK 1995
  • Freeman J. A., Skapura D. M. Neural Networks, Algorithms, Application and Programming Techniques. Addison Wesley, CNV Series 1991, FREEMAN 1991
  • Frégnac Y. Hebbian Synaptic Plasticity: Comparative and Developmental Aspect. in ARBIB 1995a, FRÉGNAC 1995
  • Frisby J. P. Stereo Correspondence and Neural Networks. in ARBIB 1995a, FRISBY 1995
  • Fritzsch B. Evolution of the Ancestral Vertebrate Brain. in ARBIB 1995a, FRITZSCH 1995
  • DTI Neural Computing Applications Portfolio. JFIT, London, UK 1993; 5.23–5.24, FRUIT GRADING 1993
  • Fukushima K., Miyake S., Ito T. Neocognitron: A Neural Network Model for a Mechanism of Visual Pattern Recognition. IEEE Transactions on Systems, Man, and Cybernetics SMC- 1988; 13: 826–834, in ANDERSON FUKUSHIMA 1983
  • Fukushima K. Neocognitron: A Model for Visual Pattern Recognition. in ARBIB 1995a, FUKUSHIMA 1995
  • Gaber M. T., Benjamin C. O. Classifying U. S. Manufacturing Plant Locations Using an Artificial Neural Network. Computers & Industrial Engineering 1992; 23: 101–104, GABER 1992
  • Galland C. C., Hinton G. E. Discovering High Order Features with Mean Field Modules. in TOURETZKY 1990a, GALLAND 1990a
  • Galland C. C., Hinton G. E. Mean Fielf Boltzmann, and Hopfield Networks-Deterministic Boltzmann Learning in Networks with Asymmetric Connectivity. in TOURETZKY 1990d, GALLAND 1990b
  • Gallant S. I. Neural Network Learning and Expert System. MIT Press, Cambridge, MA 1993, GALLANT 1993a
  • Gallant S. I. Neural Network Learning. The MIT Press, Cambridge, Massachusetts, London, England 1993, GALLANT 1993b
  • Gallant S. I. Expert Systems and Decision Systems Using Neural Networks. in ARBIB 1995a, GALLANT 1995
  • Gallinari P. Modular Neural Net Systems, Training of. in ARBIB 1995a, GALLINARI 1995
  • Garavaglia S. Interpreting Neural Network Output. ATD February, 1993; vol. 2: 18–22, GARAVAGLIA 1993
  • Geiger D., Girosi F. Coupled Markov Random Fields and Mean Field Theory. in TOURETZKY 1990a, GEIGER 1990
  • Geiger D. Winner-Take-All Mechanisms. in ARBIB 1995a, GEIGER 1995
  • Gelenbe E. Neural Networks Advances and Applications. Elsevier Science Publishers, Amsterdam, BV The Netherlands 1991, GELENBE 1991
  • Geman S., Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI- 1988; 6: 721–741, in ANDERSON GEMAN 1984
  • Gentner D., Markman B. Analogy-Based Reasoning. in ARBIB 1995a, GENTNER 1995
  • Georgopoulos A. P. Reaching: Coding in Motor Cortex. in ARBIB 1995a, GEORGOPOULOS 1995
  • Getting P. A. Emerging Principles Governing the Operation of Neural Networks. by Annual Reviews Inc. 1989, GETTING 1989
  • Giles C. L., Sun G. Z., Chen H. H., Lee Y. C., Chen D. Higher Order Recurrent Networks and Grammatical Inference. in TOURETZKY 1990a, GILES 1990
  • Gillenson M., Stutz J. Academic Issues in MIS: journal and books. MIS Quartertly 1991; 15: 447–452, GILLENSON 1991
  • Gish S. L., Blanz W. E. Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem. in TOURETZKY 1990a, GISH 1990
  • Giszter S. F. Frog Wiping Reflexes. in ARBIB 1995a, GISZTER 1995
  • Glass L., Mackey M. C. From Clocks to Chaos: The Rhythms of Life. NJ Princeton University Press, Princeton 1988, GLASS 1988
  • Glass L., Malta C. P. Chaos in Multi-Looped Negative Feedback Systems, S. Theor. Biol. 1990; 145: 217–223, GLASS 1990
  • Glass L. Chaos in Neural Systems. in ARBIB 1995a, GLASS 1995
  • Gluck M. A., Pavel M., Henkle V. Constraints on Adaptive Networks for Modeling Human Generalization. in TOURETZKY 1989a, GLUCK 1989
  • Goadhill G. J. The Development of Topography and Ocular Dominance. in TOURETZKY 1990d, GOADHILL 1990
  • Goebel R. Binding, Episodic Short-Term Memory, and Selective Attention, Or Why are PDP Models Poor at Symbolm Manipulation?. in TOURETZKY 1990d, GOEBEL 1990
  • Goldberg K. Y., Pearlmutter B. A. Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMUDirect-Drive Arm II. in TOURETZKY 1989a, GOLDBERG 1989
  • Goles E. Energy Functions for Neural Networks. in ARBIB 1995a, GOLES 1995
  • Gorman R., Sejnowski T. J. Analysis of Hidden Units in Layered Networks Trained to Classify Sonar Targets. Neural Networks 1984; 76–90, GORMAN 1984
  • Grajski K. A., Merzenich M. M. Neural Network Simulation of Somatosensory Reperesentational Plasticity. in TOURETZKY 1990a, GRAJSKI 1990
  • Grassberger I., Procaccia I. Measuring the Strangeness of Strange Altractors. Physica, D 1983; 9: 189–208, GRASSBERGER 1983
  • Grassberger I., Schreiber T., Shaffrath C. Nonlinear Time Series Analysis. Int. J. Bif. Chaos 1991; 1: 521–547, GRASSBERGER 1991
  • Grebogi C., Ott E., Yorke J. A. Chaos, Strange Altractors, and Fractal Basin Boundaries in Nonlinear Dynamics. Science 1987; 238: 632–638, GREBOGI 1987
  • Greimas A. J. Semantique Structurale. Librarie Larousse, Paris 1966, GREIMAS 1966
  • Greimas A. J. The Interaction ofSemiotic Constraints. in Yale French Studies 1968; 41, GREIMAS 1968a
  • Greimas A. J. Pour une Sémiotique du Monde Naturel. in Language, Paris 1968; 10, GREIMAS 1968b
  • Du Sens. Essai Semiotiques, A J Greimas. Seuil, Paris 1970, GREIMAS 1970
  • Essai de Sémiotique Poetique, A. J. Greimas. Laurosse, Paris 1972, GREIMAS 1972
  • Greimas A. J. Pour une Théorie des Modalitiés. in Language 1976; 43, GREIMAS 1976
  • Greimas A. J., Courtes J. Sémiotique: Dictionnaire Raiseonné de la Theorie duLanuage. Hachette, Paris 1979; vol. 1, GREIMAS 1979a
  • Greimas A. J., Landowski E. Introduction à l'Analyse du Discours en Sciences Sociales. Hachette, Paris 1979, GREIMAS 1979b
  • Greimas A. J. Semiotica Figurativa e Semiotica Plastica in Filmcritica, Rome, n. 307/309. [Furative Semiotic and Plastic Semiotic] 1980; 253–267., GREIMAS 1980
  • Greimas A. J. Du Sens II. Essais de Sémiotique, Seuil, Paris 1983, GREIMAS 1983a
  • Greimas A. J., Landowski E. Pragmatique et Sémiotique. Actes Sémiotique, EHESS, Paris 1983; 50, GREIMAS 1983b
  • Greimas A. J., Courtes J. Sémiotique: Dictionnaire Raisonné de la Theorie du Langage. Hachette, Paris 1986; vol. II, GREIMAS 1986
  • Greimas J., Fontanille J. Semiotique des Passions. Editions du Seuil, Paris 1991
  • Grossberg S. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors. Biological Cyrbernetics in ANDERSON 1988; 23: 121–134, GREIMAS 1991 A.
  • Grobbberg S. How Does a Brain Build a Cognitive Code?. Psychological Review in ANDERSON 1988; 87: 1–51, GROSSBERG 1980
  • Studies of Mind and Brain. Boston Studies in the Philosophy, S. Grossberg. Science, D. Reidel Publishing Company. 1982; Volume 70, GROSSBERG 1982
  • The Adaptive Brain, S. Grossberg. Cognition, Learning, Reinforcement and Rhythm, North Holland 1987a; Vol. I, GROSSBERG 1987a
  • The Adaptive Brain, S. Grossberg. Vision, Speech, Language and Motor Control, North Holland 1987b; Vol. 11, GROSSBERG 1987b
  • Neural Networks and Natural Intelligence, S. Grossberg. MIT Press. 1988, GROSSBERG 1988
  • Grossberg S., Schmajuk N. A. Neural Dynamics of Adaptive Timing and Temporal Discrimination During Associative Learning. in CARPENTER 1991, GROSSBERG 1991a
  • Grossberg S. Adaptive Pattern Classification and Universal Recoding, I: Parallel Development and Coding of Neural Feature Detectors. in CARPENTER 1991, GROSSBERG 1991b
  • Grossberg S. Adaptive Pattern Classification and Universal Recoding, II: Feedback, Expectation, Olfaction, and Illusions. in CARPENTER 1991, GROSSBERG 1991c
  • Grossberg S. Neural Expectation: Cerebellar and Retinal Analogs of Cells Fired by Learnable or Unlearned Pattern Classes. in CARPENTER 1991, GROSSBERG 1991d
  • Grossberg S. Neural Pattern Discrimination. in CARPENTER 1991, GROSSBERG 1991e
  • Grossberg S. Nonlinear Neural Networks: Principles, Mechanism, and Architectures. in CARPENTER 1991
  • Grossberg S. Unitization, Automaticity, Temporal Order, and Word Recognition. in CARPENTER 1991, GROSSBERG 1991 f
  • Grossberg S. Figure-Ground Separation. in ARBIB 1995a, GROSSBERG 1995
  • Grossman T.R., Domany E. Learning by Choice of Internal Representations. in TOURETZKY 1989a, GROSSMAN 1989
  • Grossman T. The CHIR Algorithm for Feed Forward Networks with Binary Weights. in TOURETZKY 1990a, GROSSMAN 1990
  • Grudnitski G., Osburn L. Forecasting S & P and Gold Futures Prices: an Application of Neural Networks. The Journal of Futures Markets 13; 631: 643, GRUDNITSKI 1993
  • Grzywacz N. M., Norcia A. M. Directional Selectivity in the Cortex. in ARBIB 1995a, GRZYWACZ 1995a
  • Grzywacz N. M., Sernagor E., Amthor F. R. Directional Selectivity in the Retina. in ARBIB 1995a, GRZYWACZ 1995b
  • Guigon E., Burnod Y. Short-Term Memory. in ARBIB 1995a, GUIGON 1995
  • Gullapalli V. Modeling Cortical Area 7a Using Stochastic Real-Valued (SRV) Units. in TOURETZKY 1990d, GULLAPALLI 1990
  • Haken H. Cooperative Phenomena. in ARBIB 1995a, HAKEN 1995
  • Hall N. The New Scientist Guide to Chaos. Penguin Books, HarmondsworthEngland 1991, HALL 1991
  • Hamilton A., Murray A. F., Tarassenko L. Programmable Analog Pulse-Firing Neural Networks. in TOURETZKY 1989a, HAMILTON 1989
  • Hammerstrom D. Digital VLSI for Neural Networks. in ARBIB 1995a, HAMMERSTROM 1995
  • Hamilton S. The journal communication system for MIS research. Database 1983; 14: 3–14, HAMILTON 1983
  • Hampshire I I J. B., Waibel A. Connectionist Architectures for Multi-Speaker Phoneme Recognition. in TOURETZKY 1990a, HAMPSHIRE 1990a
  • Hampshire I I J. B., Pearlmutter B. Equivalence Proofs for Multi-Layeri Perceptron Classifiers and the Bayesian Discriminant. in TOURETZKY 1990d, HAMPSHIRE 1990b
  • Hampson S. Problem Solving, Connections!. in ARBIB 1995a, HAMPSON 1995
  • Hansen J. V., McDonald J. B., Stice J. D. Artificial Intelligence and Generalized Qualitative-Response Models: an Empirical Test on Two Audit Decision-Making Domains. Decision Sciences 1992; 23: 708–723, HANSEN 1992
  • Hanson S. J. Meiosis Networks. in TOURETZKY 1990a, HANSON 1990
  • Hanson S. J. Backpropagation: Some Comments and Variations. in CHAUVIN 1995, HANSON 1995
  • Hare M. Language Change. in ARBIB 1995a, HARE 1995
  • Harp S. A., Samad T., Guha A. Designing Application-Specific Neural Networks Using the Genetic Algorithm. in TOURETZKY 1990a, HARP 1990
  • Harris J. G. An Analog VLSI Chip for Tin-Plate Surface Interpolation. in TOURETZKY 1989a, HARRIS 1989
  • Harris-Warrick R. M. Mechanisms for Neuromodulation of Biological Neural Networks. in TOURETZKY 1990a, HARRIS-WARRICK 1990
  • Hartstein A., Koch R. H. A Self-Learning Neural Network. in TOURETZKY 1989a, HARTSTEIN 1989
  • Hawking S. W., Hartle J. B. Wave Function of the Universe in Physical Review. D, XXVIII 1983; 2960, HAWKING 1983
  • Haykin S. Adaptive Signal Processing. in ARBIB 1995a, HAYKIN, 1995
  • Hebb D. O., The Organization of Behavior. The first stage of perception: growth of the assembly in ANDERSON. Wiley, Introduction and Chapter 4, New York 1988; xi–xix; 60–78, HEBB 1949
  • Hebb D. O. Essay on Mind. New Jersey, Lawrence Erlbaum Associates, Hillsdale 1980, HEBB 1980
  • Hecht-Nielsen R. Neurocomputing. Addison-Wesley, Reading, MA 1990, HECHT-NIELSEN 1990
  • Hecht-Nielsen R. Counterpropagation Networks. in CARPENTER 1991, HECHT-NIELSEN 1991
  • Heirich A., Koch C. Neuronal Signal Strength is Enhanced by Rhythmic Firing. in TOURETZKY 1990d, HEIRICH 1990a
  • Heirich A., Watkins S., Alston M., Chau P. An Analog VLSI Neural Network Cocktail Party Processor. in TOURETZKY 1990d, HEIRICH 1990b
  • Hendler J. Spreading Activation over Distributed Microfeatures. in TOURETZKY 1989a, HENDLER 1989
  • Hepp K. Saccades and Listing's Law. in ARBIB 1995a, HEPP 1995
  • Hertz J. Computing with Attractors. Sensory Coding and Information Theory. in ARBIB 1995a, HERTZ 1995
  • Herz A. V. M. Spatiotemporal Association in Neural Networks. in ARBIB 1995a, HERZ 1995
  • Hildreth E. C., Royden C. S. Motion Perception. in ARBIB 1995a, HILDRETH 1995
  • Hill T., Remus W. Neural Network Models for Intelligent Support of Managerial Decision Making. Decision Support Systems 1994; 11: 449–459, HILL 1994
  • Hillis W. D. The Connection Machine. The MIT Press, Cambridge, MA 1985, HILLIS 1985
  • Hinde R. A. Towards Understanding Relationships. London Academic Press. 1979, HINDE 1979
  • Hines M., Carnevale N. T. Computer Modeling Methods for Neurons. in ARBIB 1995a, HINES 1995
  • Hinton G. E., Anderson J. Parallel Models of Associative Memory. Erlbaum, Hillsdale, N.J. 1981, HINTON 1981
  • Hinton G. E., Sejnowski T. J. Learning and Relearning in Boltzmann Machines. in RUMELHART 1986a; vol. 1, HINTON 1986a
  • Hinton G. E., McClelland J. L., Rumelhart D. E. Distributed Representations. in RUMELHART 1986a; vol. 1, HINTON 1986b
  • Hinton G. E., Sejnowski T. J. Neural Network Architectures for A.I. Tutorial n. MP2, AAAI87, Seattle, WA 1987, HINTON 1987
  • Hinton G. E., McClelland J. L. Learning Representation by Recirculation. Proceedings of IEEE Conference on Neural Information Processing Systems. November, 1988, HINTON 1988
  • DTI Neural Computing Application Portfolio 1993; 5: 39–5, 40. HOLIDAY PREFERENCE PREDICTION
  • Holland J. H. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, USA 1975, JFIT, London, UK 1
  • Holmes W. R., Rail W. Dendritic Spines. in ARBIB 1995a, HOLMES 1995
  • Hong R. China's Progress in Artificial Neural Networks. ATD August, 1992; vol. 1: 13, HONG 1992
  • Hooper S. L. Crustacean Stomatogastric System. in ARBIB 1995a, HOOPER 1995
  • Hopfield J. J. Neural networks and physical systems with emergent collective, HOPFIELD 1982
  • computational abilities. Proceedings of the National Academy of Sciences. 1988; 79: 2554–2558, in ANDERSON
  • Hopfield J. J. Neurons with graded response have collective computational properties like those of two-state neurons. Proceedings of the National Academy of Sciences USA. Bioscience 1984; 81: 3088–3092, HOPFIELD
  • Hopfield J. J., Tank D. W. Computing With Neural Circuits: A Model. Articles Science 8 August, 1986; vol. 233, HOPFIELD 1986
  • Hormel M. A Self-organizing Associative Memory System for Control Applications. in TOURETZKY 1990a, HORMEL 1990
  • Hruschka H. Determining Market Response Functions by Neural Network Modeling: a Comparison to Econometric Techniques. European Journal of Operational Research 1993; 66: 27–35, HRUSCHKA 1993
  • Huang W. Y., Lippmann R. P. HMM Speech Recognition With Neural Net Discrimination. in TOURETZKY 1990a, HUANG 1990
  • Huang C. C, Lim C., Liu M. C. Comparison of Image Processing Algorithms and Neural Networks in Machines Vision Inspection. Computers & Industrial Engineering 1992; 23: 105–108, HUANG 1992
  • Huang Y. L., Fan L. T. Artificial Intelligence for Waste Minimization in the Process Industry. Computers in Industry 1993; 22: 117–128, HUANG 1993
  • Hueter G. J. Neural Networks Automate Inspections: Focusing Computer Intelligence on a Commercial Producegrading Application. Quality 1993; 32: 41–44, HUETER 1993
  • Hummel J. E. Object Recognition. in ARBIB 1995a, HUMMEL 1995
  • Hurlbert A., Poggio T. A Network for Image Segmentation Using Color. in TOURETZKY 1989a, HURLBERT 1989
  • Hutchinson J. M., Lo A. W., Poggio T. A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks. The Journal of Finance, XLIX 1994; 851–889, HUTCHINSON 1994
  • Hwang J. N. Nextured Images: Modeling and Segmentation. in ARBIB 1995a, HWANG 1995
  • Hwarng H. B., Hubele N. F. Back-Propagation Pattern Recognizers for X Control Charts: Methodology and Performance. Computers & Industrial Engineering. 1993; 24: 219–235, HWARNG 1993a
  • Hwarng H. B., Hubele N. F. X Control Chart Pattern Identification Through Efficient Off-Line Neural Network Training. HE Transactions 1993; 25: 27–39, HWARNG 1993b
  • IBM, Artificial Intelligence and the AS/400: Neural Networks and Knowledge-Based Systems, MN Rochester. International Technical Support Center. 1992, IBM 1992
  • DTI Neural Computing Applications Portfolio. London, UK, 1993 5.27; 5.28: JFIT, INDUSTRIAL NON-DESTRUCTIVE TESTING 1993
  • Inglesby T. No Clowning Around, Neural Networks Can Help Manufacturing. Manufacturing Systems 1988; 6: 26–31, INGLESBY 1988
  • Intrator N. A Neural Network for Feature Extraction. in TOURETZKY 1990a, INTRATOR 1990a
  • Intrator N. Feature Extraction Using an Unsupervised Neural Network. in TOURETZKY 1990d, INTRATOR 1990b
  • Intrator N., Cooper L. N. BCM Theory of Visual Cortical Plasticity. in ARBIB 1995a, INTRATOR 1995a
  • Intrator N. Competitive Learning. in ARBIB 1995a, INTRATOR 1995b
  • Intrator N., Cooper L. N. Information Theory and Visual Plasticity. in ARBIB 1995a, INTRATOR 1995c
  • Ioannou P. Model-Reference Adaptive Control. in ARBIB 1995a, IOANNOU 1995
  • Jain A. N., Waibel A. H. Incremental Parsing by Modular Recurrent Connectionist Networks. in TOURETZKY 1990a, JAIN 1990
  • Jeannerod M. Corollary Discharge in Visuomolor Coordination. in ARBIB 1995a, JEANNEROD 1995
  • Jenkins B. K., Tanguary A. R., Jr. Optical Architectures for Neural Network Implementations. in ARBIB 1995a, JENKINS 1995
  • Jennings P. J., Keele S. W. A Computational Model of Attentional Requirements in Sequence Learning. in TOURETZKY 1990d, JENNINGS 1990
  • Jensen H. L. Using Neural Networks for Credit Scoring. Managerial Finance. 1992; 18: 15–26, JENSEN 1992
  • Johnson M. J., Allinson N. M., Moon K. J. Digital Realisation of Self-Organising Maps. in TOURETZKY. The Computer and the Mind, William CollinsLondon 1988, 1989a. JOHNSON-LAIRD, 1988: P. Johnson-Laird, JOHNSON 1989
  • Jordan M. I. An Introduction to Linear Algebra in Parallel Distributed Processing. in RUMELHART 1986a; vol. 1, JORDAN 1986
  • Jordan M. I. A Parallel Distributed Processing Approach. in ELMAN 1989, JORDAN 1989
  • Jordan M. I., Jacobs R. A. Learning to Control an Unstable System with Forward Modeling. in TOURETZKY 1990a, JORDAN 1990
  • Jordan M. I. Forward Models: Supervised Learning with a Distal Teacher. Cognitive Science 1992; Vol. 16: 307–354, JORDAN
  • Jordan M. I., Jacobs R. A. Modular and Hierarchical Learning Systems. in ARBIB 1995a, JORDAN 1995a
  • Jordan M. I., Rumelhart D. E. Forward Models: Supervised Learning with a Distal Teacher. in CHAUVIN 1995, JORDAN 1995b
  • Judd J. S. Time Complexity of Learning. in ARBIB 1995a, JUDD 1995
  • Kalaska J. F. Reaching Movements: Implications of Connectionist Models. in ARBIB 1995a, KALASKA 1995
  • Kammen D., Koch C., Holmes P. J. Collective Oscillations in the Visual Cortex. in TOURETZKY 1990a, KAMMEN 1990
  • Kaneko K. Cooperative Behavior in Networks of Chaotic Elements. in ARBIB 1995a, KANEKO 1995
  • Kanerva P. Contour-Map Encoding of Shape for Early Vision. in TOURETZKY 1990a, KANERVA 1990
  • Kao Y., Moon Y. B. A Unified Group Technology Implementation Using the Backpropagation Learning Rule of Neural Networks. Computers & Industrial Engineering 1991; 20: 425–437, KAO 1991
  • Kaparthi S., Suresh N. C. A Neural Network System for Shape-Based Classification and Coding of Rotational Parts. International Journal of Production Research 1991; 29: 1771–1784, KAPARTHI 1991
  • Kaparthi S., Suresh N. C. Machine-Component Cell Formation in Group Technology: a Neural Network Approach. International Journal of Production Research 1992; 30: 1353–1367, KAPARTHI 1992
  • Kaparthi S., Suresh N. C., Cerveny R. P. An Improved Neural Network Leader Algorithm for Part-Machine Grouping in Group Technology. European Journal of Operational Research 1993; 69: 342–356, KAPARTHI 1993
  • Karmiloff-Smith A. Developmental Disorder. in ARBIB 1995a, KARMILOFF-SMITH 1995
  • Kassebaum J., Tenorio M. F., Schaefers C. The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN. in TOURETZKY 1990a, KASSEBAUM 1990
  • Kassim A. A., Vijaya Kumar B. V. K. Potential Fields and Neural Networks. in ARBIB 1995a, KASSIM 1995
  • Kawato M. Cerebellum and Motor Control. in ARBIB 1995a, KAWATO 1995
  • Kean J. Neural Nets and Stocks: Training a Predictive Systems. PC Al 1993; 7: 45–47, KEAN 1993
  • Kenyon G. T., Fetz E. E., Puff R. D. Effects of Firing Synchrony on Signal Propagation in Layered Networks. in TOURETZKY 1990a, KENYON 1990
  • Kertz J., Krogh A., Palmer R. G. introduction to the Theory of Neural Computation. Wesley Publishing Company. Advanced Book Program, CA. 1991, KERTZ 1991
  • Khanna T. Foundations of Neural Networks. [Fondamenti di Reti Neurali Addison Wesley Italia, S. R.L. Milano. Addison Wesley, New York 1990-1991, KHANNA 1990
  • Kim J. W., Weistroffer H. R., Redmond R. T. Expert Systems for Bond Rating a Comparative Analysis of Statistical Rule-Based and Neural Network Systems. Expert Systems 1993; 10: 167–172, KIM 1993
  • Kirillov A. B., Borisyuk G. N., Borisyuk Kovalenko R. M., Ye. I., Makarenko V. I., Chulaevsky V. A., Kryukov V. I. A Model of Neural Oscillator for a Unified Submodule. in TOURETZKY 1989a, KIRILLOV 1989
  • Kirkpatrick S., Gelatt C. D., Jr., Vecchi M. P. Optimization by simulated annealing. Science in ANDERSON 1988; 220: 671–680, KIRKPATRICK 1983
  • Kirkpatrick S., Sorkin G. B. Simulated Annealing. in ARBIB 1995a, KIRKPATRICK 1995
  • Kirrane D. E. Machine Learning. Training & Development Journal 1990; 44: 24–29, KIRRANE 1990
  • Klimasauskas C. Neuro-Computing Bibliography. MIT Press, Cambridge, MA 1990, KLIMASAUSKAS 1990: 1989
  • Knapp A. G., Anderson J. A. Theory of categorization based on distributed memory storage. Journal of Experimental Psychology: Learning, Memory, and Cognition 1988; 10: 616–637, in ANDERSON KNAPP 1984
  • Knapp G. M., Wang H. P. Machine Fault Classification: a Neural Network Approach. International Journal of Production Research 1992; 30: 811–823, KNAPP 1992
  • Koch C., Bair W., Harris J. G., Horiuci T., Hsu A., Luo J. Real-Time Computer Vision and Robotics Using Analog VLSI Circuits. in TOURETZKY 1990a, KOCH 1990
  • Koch C., ÖjvindBemarder. Axonal Modeling. in ARBIB 1995a, KOCH 1995
  • Kohonen T. Correlation matrix memories. IEEE Transactions on Computers C in ANDERSON 1988; 21: 353–359, KOHONEN 1972
  • Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics in ANDERSON 1988; 43: 59–69, KOHONEN 1982
  • Kohonen T. Self-Organization and Associative Memory. of Springer Series in Information Sciences. Springer-Verlag, Berlin 1984; Vol. 8, KOHONEN 1984
  • Kohonen T. The Neural Phonetic Typewriter. Computer 1988; 21(3)11–22, KOHONEN 1988
  • Kohonen T. The Neural Phonetic Typewriter. in CARPENTER 1991, KOHONEN 1991
  • Kohonen T. Learning Vector Quantization. in ARBIB 1995a, KOHONEN 1995a
  • Kohonen T. Self-Organizing Maps. Springer Verlag Berlin, Heidelberg 1995, KOHONEN 1995b
  • Konishi M. Song Learning in Birds. in TOURETZKY 1989a, KONISHI 1989
  • Kopell N. Chains of Coupled Oscillators. in ARBIB 1995a, KOPELL 1995
  • Kosko B. Adaptive Bidirectional Associative Memories. in CARPENTER 1991, KOSKO 1991
  • Kosko B. Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, Englewood Cliffs, NJ 1992, KOSKO 1992a
  • Kosko B. Neural Networks for Signal Processing. Prentice Hall, Englewood Cliffs, NJ 1992, KOSKO 1992b
  • Kosko B. Fuzzy Thinking. The New Science of Fuzzy Logic. Hyperion/Disney Books. 1993, KOSKO 1993
  • Koza J. R. Genetic Programming On the Programming of Computers by Means of Natural Selection. A Bradford Book. The MIT Press, Cambridge, Massachusetts LondonEngland 1992, KOZA 1992
  • Kramer A. H., Sangiovanni-Vincentelli A. Efficient Parallel Learning Algorithms for Neural Networks. in TOURETZKY 1989a, KRAMER 1989
  • Krauzlis R. J. Pursuit Eye Movements. in ARBIB 1995a, KRAUZLIS 1995
  • Krogh A., Thorbergsson C. J., Hertz J. A. Aâost Function for Internal Representations. in TOURETZKY 1990a, KROGH 1990
  • Krylow Sandercock A. M. T G., Zev Rymer W. Muscle Models. in ARBIB 1995a, KRYLOW 1995
  • Kryukov V. I. “Neurolocator”, A Model of Attention. in TOURETZKY 1989a, KRYUKOV 1989
  • Kryzanowski L., Galler M., Wright D. W. Using Artificial Neural Networks to Pick Stocks. Financial Analysist Journal 1993; 49: 21–27, KRYZANOWSKI 1993
  • Kuramoto Y. Collective Behavior of Coupled Oscillators. in ARBIB 1995a, KURAMOTO 1995
  • Kurková V. Kolmogorov's Theorem in ARBIB. 1995a. LABOISSIERE, 1990, R. Laboissière, J L Schwartz, G Bailly. Motor Control for Speech Skills: A Connectionist Approach, TOURETZKY 1990d, KURKOVA 1995
  • Lacquaniti F., Maioli C. Limb Geometry: Neural Control. in ARBIB 1995a, LACQUANITI 1995
  • Lang K. J., Hinton G. E. Dimensionality Reduction and Prior Knowledge in E-Set Recognition. in TOURETZKY 1990a, LANG 1990
  • Lange T. E., Dyer M. G. Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding. in TOURETZKY 1989a, LANGE 1989
  • Lange T. E., Melz E. R., Wharton Holyoak C. M. K. J. Analogical Retrieval Within a Hybridpreading-Activation Network. in TOURETZKY 1990d, LANGE 1990
  • Langton C. G. Artificial Life: an Overview. MIT Press, Cambridge, MA 1995, LANGTON 1995
  • Lapedes A., Farber R. Non Linear Signal Processing Using Neural Networks: Prediction and System Modeling. Los Alamos National Laboratory Report LA-UR-87–2662. 1987, LAPEDES 1987
  • Lashley K. S. In search of the engram. Society of Experimental Biology Symposium, No. 4: Psychological Mechanisms in Animal Behavior. Cambridge University Press, Cambridge 1988; 454–455; 468–473; 477–480, in ANDERSON LASHLEY 1950
  • Lazzaro J., Ryckebusch S., Mahowald M. A., Mead C. A. A Programmable Analog Neural Computer and Simulator. in TOURETZKY 1989a, LAZZARO 1989
  • LeCun Y., Boser B., Denker J. S., Henderson D., Howard R. E., Hubbard W., Jackel L. D. Handwritten Digit Recognition with a Back-Propagation Network. in TOURETZKY 1990a, LECUN 1990a
  • LeCun Y. J., Denker S., Solla S. A. Optimal Brain Damage. in TOURETZKY 1990a, LECUN 1990b
  • LeCun Y., Bengio Y. Convolutional Networks for Images, Speech, and Time Series Pattern Recognition. in ARBIB 1995a, LECUN 1995a
  • LeCun Y., Bengio Y. Pattern Recognition. in ARBIB 1995a, LECUN 1995b
  • LeDoux Fellous J. E. J.-M. Emotion and Computational Neuroscience. in ARBIB 1995a, LEDOUX 1995
  • Lee M., Bower J. M. A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats. in TOURETZKY 1990a, LEE 1990a
  • Lee H. Y., Lippmann R. P. Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. in TOURETZKY 1990a, LEE 1990b
  • Lee Y.-H., Kim S. Neural Network Applications for Scheduling Jobs on Parallel Machines. Computers & Industrial Engineering. 1993; 25: 227–230, LEE 1993a
  • Lee J., Kramer B. M. Analysis of Machine Degradation Using a Neural Network Based Pattern Discrimination Model. Journal of Manufacturing Systems 1993; 12: 379–387, LEE 1993b
  • Leinbach J. Automatic Local Annealing. in TOURETZKY 1989a, LEINBACH 1989
  • Lelu A. From Data Analysis to Neural Networks: New Prospects for Efficient Browsing Through Databases. Journal of Information Science 1991; 17: 1–12, LELU 1991
  • Lesher G. W., Mingolla E. Illusory Contour Formation. in ARBIB 1995a, LESHER 1995
  • Levin A. Optimal Dimensionality Reduction Using Hebbian Learning. in TOURETZKY 1990d, LEVIN 1990
  • Levine D. S. Disease: Neural Network Models. in ARBIB 1995a, LEVFNE 1995
  • Lewis J. E. Respiratory Rhythm Generation. in ARBIB 1995a, LEWIS 1995
  • Liang T.-P., Moskowitz H., Yin Y. Integrating Neural Networks and Semi-Markov Processes for Automated Knowledge Acquisition: an Application to Real-Time Scheduling. Decision Sciences 1992; 23: 1297–1313, LIANG 1992a
  • Liang T.-P., Chandler J. S., Han I., Roan J. An Empirical Investigation of Some Data Effects on the Classification Accuracy of Probit, ID3 and Neural Networks. Contemporary Accounting Research 1992; 9: 306–328, LIANG 1992b
  • Liao T. W., Chen L. J. An Evaluation of ARTI Neural Models for GT Part Family and Machine Cell Forming. Journal of Manufacturing Systems 1993; 12: 282–290, LIAO 1993
  • Liao T. W., Lee K. S. Integration of a Featurebased CAD System and an ARTI Neural Model for GT Coding and Part Family Forming. Computers & Industrial Engineering. 1994; 26: 93–104, LIAO 1994
  • Liaw J. S., Berger T. W., Baudry M. NMDA Receptors: Synaptic, Cellular, and Network Models. in ARBIB 1995a, LIAW 1995
  • Licata I. Minkowski's Space-Time and Dirac's Vacuum as Ultrareferential Fundamental Reference Frame. in Hadronic Journal 1991; 14, LICATA 1991
  • Lin C. C., Wang P. H. Classification of Autoregressive Spectral Estimated Signal Patterns Using an Adaptive Resonance Theory Neural Network. Computers in Industry 1993; 22: 143–157, LIN 1993a
  • Lin F. C., Lin M. Neural Networks Can Discern Patterns among Input Data and thus are the Perfect Vehicle for Analyzing Financial Data. Here's How. AI Expert 1993; 8: 37–41, LIN 1993b
  • Lincoln W. P., Skrzypek J. Synergy of Clustering Multiple Back Propagation Networks. in TOURETZKY 1990a, LINCOLN 1990
  • Linkser. Self-organization in apercentual network. IEEE Computer 1988; 21: 105–117, LINKSER 1988
  • Lisboa P. J. G. Neural Networks: Current Applications. Chapman & Hall, London, UK 1992, LISBOA 1992
  • Lisboa P. J. G., Taylor M. J. Techniques and Applications of Neural Networks. Ellis Horwood, West Sussex, UK 1993, LISBOA 1993
  • Lister R. Fractal Strategies for Neural Network Scaling. in ARBIB 1995a, LISTER 1995
  • Little W. A., Shaw G. L. A Statistical Theory of Short and Long Term Memory. in ANDERSON. Behavioral Biology. 1988; 14: 115–133, LITTLE 1975
  • Liu Q., Hirono S., Moriguchi I. Application of Functional-Link Net. QSAR. 1. QSAR for Activity Data Given by Continuous Variate, in Quant. Struct. Act. Relat. School of Pharmaceutical Sciences, Kitasato University, Shirokane, Minato-ku, TokyoJapan 1992a; 108: 135–141, LIU 1992a
  • Liu Q., Hirono S., Moriguchi I. Application of Functional-Link Net in QSAR. 2. QUSAR for Activity Data Given by Continuous Variate, in Quant. Struct. -Act. Relat. School of Pharmaceutical Sciences, Kitasato University, Shirokane, Minato-ku, TokyoJapan 1992b; 108: 318–324, LIU 1992b
  • Livingston D. Integrators in Action: Wyoming Bucks Paperwork with Imaging. System Integration Business. 1992; 25: 28–32, LIVINGSTON 1992
  • Lockery S. R., Fang Y., Sejnowsky T. J. Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech. in TOURETZKY 1990a, LOCKERY 1990
  • Lodewyck Deng R. W.P.-S. Experimentation with a Back-Propagation Neural Network: an Application to Planning end User System Development. Information & Management 1993; 24: 1–8, LODEWYCK 1993
  • Loeb G. E. Prosthetics, Neural. in ARBIB 1995a, LOEB 1995
  • Lohn J. D. Analog VLSI for Neural Network. in ARBIB 1995a, LOHN 1995
  • Lopes da Silva F. H., Pijn J. P. EEG Analysis. in ARBIB 1995a, LOPES DA SILVA 1995a
  • Lopes da Silva F. H., Pijn J. P. Epilepsy: Network Models of Generation. in ARBIB 1995a, LOPES DA SILVA 1995b
  • Lowe D. Radial Basis Function Networks. in ARBIB 1995a, LOWE 1995
  • Lund J. S., Wu Q., Levitt J. B. Visual Cortex Cell Types and Connections. in ARBIB 1995a, LUND 1995
  • Linch G. Synapses, Circuits, and the Beginnings of Memory a Bradford Book. The MIT Press, Cambridge, Massachusetts LondonEngland 1986, LYNCH 1986
  • LyneD'autrechy, Reggia J. A., et al. Mariland Mirror/II: A Connectionist Model Simulator. MD Computing 1990; vol. 7, LYNE D'AUTRECHY 1990
  • Maass W. Vapnik-Chervonenkis Dimension of Neural Networks. in ARBIB 1995a, MAASS 1995
  • Macgregor R. Neural and Brain Modelling. Academic Press, New York 1987, MacGREGOR 1987
  • DTI Neural Computing Applications Portfolio. JFIT, London, UK 1993; 5.7–5.8, MACHINE HEALTH MONITORING 1993
  • MacKay J. C.D., Miller K. D. Analysis of Linsker's Simulations of Hebbian Rules. in TOURETZKY 1990a, MacKAY 1990
  • MacKay D. J. C. Bayesian Methods for Supervised Neural Networks. in ARBIB 1995a, MacKAY 1995
  • MacLeod K. J., Robertson W. A Neural Algorithm for Document Clustering. Information Processing & Management. 1991; 27: 337–346, MacLEOD 1991
  • Madey G. R., Weinroth J., Shah V. Integration of Neurocomputing and System Simulation for Modeling Continuous Improvement Systems in Manufacturing. Journal of Intelligent Manufacturing 1992; 3: 193–204, MADEY 1992
  • Majani E., Elanson R., Abu-Mostafa Y. On the K-Winners-Take-All Network. in TOURETZKY 1989a, MAJANI 1989
  • Maldelbrot B. B. The Fractal Geometry of Nature. W. H. Freeman and Company, New York 1982, MALDELBROT 1982
  • Malkoff D. B. A Neural Network for Real-Time Signal Processing. in TOURETZKY 1990a, MALKOFF 1990
  • Maliot H. A. Layered Computation in Neural Networks. in ARBIB 1995a, MALLOT 1995
  • Mann J. R., Gilbert S. An Analog Self-Organizing Neural Network Chip. in TOURETZKY 1989a, MANN 1989
  • Mann J. R. The Effects of Circuit Integration on a Feature Map Vector Quantizer. in TOURETZKY 1990a, MANN 1990
  • Manteuffel G. Visuomotor Coordination in Salamanders. in ARBIB 1995a, MANTEUFFEL 1995
  • Manthey M., Morte B. The Computational Metaphor and Quantum Physics. Communications of the Association for Computing Machinery. 1983, MANTHEY 1983
  • Marcus C. M., Westervelt R. M. Dynamics of Analog Neural Networks with Time Delay. in TOURETZKY 1989a, MARCUS 1989
  • Marose R. A. A Financial Neural-Network Application. AI Expert 1990; 5: 50–53, MAROSE 1990
  • Marr D., Poggio T. Cooperative computation of stereo disparty. Science 1988; 194: 283–287, in ANDERSON MARR 1976
  • Marr D. Vision, A Computational Investigation into the Human Representation and Processing of Visual Information. Late of The MIT. W. H. Freeman and Company. 1982, MARR 1982a
  • Marr D. Vision. W. H. Freeman, San Francisco 1988; 38–19; 54–61, in ANDERSON MARR 1982b
  • Marroquin J. L. Regularization Theory and Low-Level Vision. in ARBIB 1995a, MARROQUIN 1995
  • Marshall J. A. Motion Perception: Self-Organization. in ARBIB 1995a, MARSHALL 1995
  • Martin G. L., Joe K. A Large-Scale Neural Network which Recognizes Handwritten Kanji Characters. in TOURETZKY 1990a, MARTIN 1990
  • Massini G., Net Q. Semeion Software n. Rome 1996, MASSINI 1996
  • Massone L. L. E. Sensorimotor Learning. in ARBIB 1995a; 3, MASSONE 1995
  • Maturana H. R., Varela F. J. Autopoiesis and Cognition. The Realization of the Living, D. Reidel. Publishing Company, Dordrecht, Holland 1980, MATURANA 1980
  • Maturana H. R., Varela F. J. Tree of Knowledge. New Science Library, Boston 1984, MATURANA 1984: 77ie
  • Mazzoni P., Andersen R. A. Gaze Coding in the Postehon Parietal Cortex. in ARBIB 1995a, MAZZONI 1995
  • McCarthy J. Recursive Functions of Symbolic Expressions and Their Computation by Machine Memo. MIT Press, Cambridge, MA 1959; 8, MCCARTHY 1959
  • McClelland J. L. Retriving General and Specific Knowledge from Stored Knowledge of Specifics. in Proceeding of the Third Annual Conference of the Cognitive Science Society. Berkeley, CA 1981, McCLELLAND 1981a
  • McClelland J. L., Rumelhart D. E. An interactive activation model of context effects in letter perception: part. l. An account of basic findings. Psychological Review. 1988; 88: 375–407, in ANDERSON McCLELLAND 1981b
  • Mechanisms of Sentence Processing: Assigning Roles to Constituents, J. L. McClelland, A. H. Kawamoto. RUMELHART 1986a; vol. 2., McCLELLAND 1986a
  • McClelland J. L., Elman J. L. Interactive Processes in Speech Perception: The TRACE Model. in RUMELHART 1986a; vol. 2., McCLELLAND 1986b
  • McClelland J. L. Resource Requirememts of Standard and Programmable Nets. in RUMELHART 1986a; vol. 1, McCLELLAND 1986c
  • McClelland J. L., Rumelhart D. E., Hinton G. E. The Appeal of Parallel Distributed Processing. in RUMELHART 1986a; vol. 1, McCLELLAND 1986d
  • McClelland J. L., Rumelhart D. E. A Distributed Model of Human Learning and Memory. in RUMELHART 1986a; vol. 2, McCLELLAND 1986e
  • McClelland J. L., Rumelhart D. E. Amnesia and Distributed Memory. in RUMELHART 1986a; vol. 2, McCLELLAND 1986f
  • McClelland J. L. The Programmable Blackboard Model of Reading. in RUMELHART 1986a; vol. 2, McCLELLAND 1986g
  • McClelland J. L., Rumelhart D. E. Explorations in Parallel Distributed Processing. The MIT Press, Cambridge, MA 1988, McCLELLAND 1988
  • McClelland J. L., Plunkett K. Cognitive Development. in ARBIB 1995a, McCLELLAND 1995
  • McCord Nelson M., Illingworth W. T. A Practical Guide to Neural Nets Reading. Addison-Wesley, A Logical Calculus of the Ideas Immanent in Nervous Activity, W. S. McCulloch, W. Pitts. Bullettin of Mathematical Biophisics, McCULLOCH, MA 1991-1943; 5: 115–133, McCORD 1991
  • McKim R. A. Neural Network Applications to Cost Engineering. Cost Engineering 1993; 35: 31–35, McKIM 1993
  • Meador J. L., Cole C. S. A Low-Power CMOS Circuit Which Emulates Temporal Electrical Prosperties of Neurons. in TOURETZKY 1989a, MEADOR 1989
  • Meijer A., Peeters P. Computer Network Architectures. Computers Science Press. 1982, MEIJER 1982
  • Mel B. W. Further Explorations in Visually-Guided Reaching: Making MURPHI Smarter. in TOURETZKY 1989a, MEL 1989
  • Mel B. W., Koch C. Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning. in TOURETZKY 1990a, MEL 1990
  • Mel B. W. Planning, Connectionist. in ARBIB 1995a, MEL 1995
  • Mendel J. M. Fuzzy Logic Systems and Qualitative Knowledge. in ARBIB 1995a, MENDEL 1995
  • Metcalfe J. Distorsions in Human Memory. in ARBIB 1995a, METCALFE 1995
  • Metzger Y., Lehmann D. Learning Temporal Sequence by Local Synaptic Changes. in Network. UK 1990; 1: 169–188, METZGER 1990
  • Meunier C., Nadal P. J. Sparsely Coded Neural Networks. in ARBIB 1995a, MEUNIER 1995
  • Miall R. C. Motor Control, Biological and Theoretical. in ARBIB 1995a, MIALL 1995
  • Michie D., Spiegelhalter D. J., Taylor C. C. Machine Learning, Neural and Statistical Classification. printed and bound in GB by Bookeraft, Midsomer Norton. Ellis Horwood Limited, New York 1994, MICHIE 1994
  • Miikkulainen R., Leow W. K. Visual Schemas in Object Recognition and Scene Analysis. in ARBIB 1995a, MIIKKULAINEN 1995
  • Miller J. P. Cricket Wind Detection. in TOURETZKY 1989a, MILLER 1989a
  • Miller K. D., Keller J. B., Stryker M. P. Models of Ocular Dominance Column Formation: Analrtical and Computational Results. in TOURETZKY 1989a, MILLER 1989b
  • Miller G. F., Todd P. M. Exploring Adaptive Agency 1: Theory and Methods for Simulating the Evolution of Learning. in TOURETZKY 1990a, MILLER 1990
  • Miller K. D. Ocular Dominance and Orientation Columns. in ARBIB 1995a, MILLER 1995
  • Milton J., Mundel T., an der Heiden U., Spire J. P., Cowan J. D. Traveling Activity Waves. in ARBIB 1995a, MILTON 1995
  • Minsky M. Neural Nets and the Brain-Model Problem. Doctoral Dissertation. Princeton University. 1954, MINSKY 1954
  • Minsky M., Selfridge O. G. Learning in Neural Nets. Proceedings of the Fourth London Symposium on Information Theory, C. Cherry. Academic Press, New York 1961, MINSKY 1961
  • Minsky M., Papert S. Perceptrons. (figure 5.1), in ANDERSON. MIT Press, Introduction, Cambridge, MA 1988; 120: 73, MINSKY 1969
  • Minsky M. Society of Mind. Simon & Schuster Inc., N.J. 1985–1986, MINSKY 1985–1986
  • Mjolsness E., Gindi G., Anandan P. Neural Networks for Model Matching and Perceptual Organization. in TOURETZKY 1989a, MJOLSNESS 1989
  • Moody J. Fast Learning in Multi-Resolution Hierarchies. in TOURETZKY 1989a, MOODY 1989
  • Moon Y. B. Establishment of a Neurocomputing Model for Part Family/Machine Group Identification. Journal of Intelligent Manufacturing 1992; 3: 173–182, MOON 1992a
  • Moon Y. B., Chi S. C. Generalized Part Family Formation Using Neural Network Techniques. Journal of Manufacturing Systems 1992; 11: 149–159, MOON 1992b
  • Morgan N., Bourlard H. Generalization and Parameter Estimation in Feedforward Nets: Some Experiments. in TOURETZKY 1990a, MORGAN 1990
  • Morgan N. Programmable Neurocomputing Systems. in ARBIB 1995a, MORGAN 1995a
  • Morgan N., Bourland H. Speech Recognition: Feature Extraction. in ARBIB 1995a, MORGAN 1995b
  • Mori Y., Yokosawa Z. Neural Networks that Learn to Discriminate Similar Kanji Characters. in TOURETZKY 1989a, MORI 1989
  • Mori Y., Pittman J. A. Recognizing Hand-Printed Letters and Digits. in TOURETZKY 1990a, MORI 1990
  • Mountain D. C. Auditory Periphery and Cochlear Nucleus. in ARBIB 1995a, MOUNTAIN 1995
  • Mozer M. C., Smolensky P. Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment. in TOURETZKY 1989a, MOZER 1989
  • Mozer M. C., Bachrach J. Discovering the Structure of a Reactive Environment by Exploration. in TOURETZKY 1990a, MOZER 1990
  • Mozer M. C. A Focused Backpropagation Algorithm for Temporal Pattern Recognition. in CHAUVIN 1995, MOZER 1995
  • Mueller P., VanderSpiegel J., Blackman D., Chiu T., Clare T., Dao J., Donham C., Hsieh T., Loinaz M. A Programmable Analog Neural Computer and Simulator. in TOURETZKY 1989a, MUELLER 1989
  • Mulsant B. H. A Neural Network as an Approach to Clinical Diagnosis. Neural Modeling 1990; vol. 7: 1, MULSANT 1990
  • Mumford D. Thalamus. in ARBIB 1995a, MUMFORD 1995
  • Munro P. W. State-Dependent Factors Influencing Neural Plasticity: A Partial Account of the Critical Period. in RUMELHART 1986a; vol. 2., MUNRO 1986
  • Murdock B. B. Classical Learning Theory and Neural Networks. in ARBIB 1995a, MURDOCK 1995
  • Murphy R. R. Sensor Fusion. in ARBIB 1995a, MURPHY 1995
  • Murre J. M. J. Learning and Categorization in Modular Neural Networks. Lawrence Erlbaum Associates, Hillsdale, NJ 1992, MURRE 1992
  • Murre J. M. J. Neurosimulators. in ARBIB 1995a, MURRE 1995
  • Mussa-Ivaldi F. A. Geometrical Principles in Motor Control. in ARBIB 1995a, MUSSA-IVALDI 1995
  • Bahram Nabet, Darling R. B., Pinter R. B. Analog Implementation of Shunting Neural Networks. in TOURETZKY 1989a, NABET 1989
  • Narendra K. S. Adaptive Control: Neural Network Applications. in ARBIB 1995a, NARENDRA 1995a
  • Narendra K. S. Identification and Control. in ARBIB 1995a, NARENDRA 1995b
  • Negoita L. A. Fuzzy System. Abacus Press, Tunbridge Wells, KentEngland 1981, NEGOITA 1981
  • Nelson M. E., Bower J. M. Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?. in TOURETZKY 1990a, NELSON 1990
  • Nelson J. I. Binding in the Visual System. in ARBIB 1995a, NELSON 1995a
  • Nelson J. I. Visual Scene Perception: Neurophysiology. in ARBIB 1995a, NELSON 1995b
  • Neumann J. V. The Computer and the Brain. Yale University Press, New Haven 1958, NEUMANN 1958
  • NeuralWare. Neural Computing. NeuralWare Inc., Pittsburgh, PA 1993, NEURALWARE 1993
  • NeuralWare. Neural II Professional Plus. 5.2, NeuralWare Inc., Pittsburgh, PA 1995, NEURALWARE 1995a
  • NeuralWare. Neural Computing. NeuralWare Inc., Pittsburgh, PA 1995, NEURALWARE 1995b
  • NeuralWare. Data Sculptor. NeuralWare Inc., Pittsburgh, PA 1995, NEURALWARE 1995c
  • Newcomb R. W. Analog VLSI for Neural Networks. in ARBIB 1995a, NEWCOMB 1995
  • Nguyen D. H., Widrow B. Nonlinear Control with Neural Networks. in CHAUVIN 1995, NGUYEN 1995
  • Nicolis G., Prigogine L. Exploring Complexity. An Introduction. R. Piper GmbH e Co., Munich, KG 1987, NICOLIS 1987
  • Nolfi S., Parisi D., Valar G., Burani C. Recall of Sequences of Items by a Neural Network. in TOURETZKY 1990d, NOLFI 1990
  • Nolfi S. “Genotypes”for Neural Networks. in ARBIB 1995a, NOLFI 1995
  • Norman D. A. Reflections on Cognition and Parallel Distributed Processing. in RUMELHART 1986a; vol. 2, NORMAN 1986
  • Novellan J. R. Contrastive Hebbian Learning in the Continuous Hopfield Model. in TOURETZKY 1990d, NOVELLAN 1990
  • Nowlan S. J. Maximum Likelihood Competitive Learning. in TOURETZKY 1990a, NOWLAN 1990
  • Nuntilde;ez F J., Fortes J. A. B. Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays. in TOURETZKY 1990a, NUGNEZ 1990
  • O'Neil M B., Abbott L. F., Sharp A. A., Marder E. Dynamic Clamp: Computer-Neural Hybrids. in ARBIB 1995a, O'NEIL 1995
  • O'Toole A J., Abdi H., Valentin D. Face Recognition. in ARBIB 1995a, O'TOOLE 1995
  • Obaidat M. S., Macchairolo D. T. A Multilayer Neural Network System for Computer Access Security. IEEE Transactions on Systems, Man and Cybernetics 1994; 24: 806–813, OBAIDAT 1994
  • Obradovic Z., Parberry I. Analog Neural Network of Limited Precision I: Computing with Multilinear Threshold Functions. in TOURETZKY 1990a, OBRADOVIC 1990
  • Oja E. Principal Component Analysis. in ARBIB 1995a, OJA 1995
  • Okamoto T., Kawato M., Inui T., Miyake S. Neurally Inspired Plasticity in Oculomot Processes. in TOURETZKY 1990a, OKAMOTO 1990
  • Olshausen B. A., Koch C. Selective Visual Attention. in ARBIB 1995a, OLSHAUSEN 1995
  • Opper M. Statistical Mechanics of Generalization. in ARBIB 1995a, OPPER 1995
  • Ossen A. A Modularization Scheme for Feedforward Networks. in TOURETZKY 1990d, OSSEN 1990
  • Papert S. Some Mathematical Models of Learning. Proceedings of the Fourth London Symposium on Information Theory, C Cherry. Academic Press, 1987, PAPERT 1987
  • Parberry I. Structural Complexity and Discrete Neural Networks. in ARBIB 1995a, PARBERRY 1995
  • Paris B. P., Orsak G., Varanasi M., Aazhang B. Neural Net Receivers in Multiple-Access Communications. in TOURETZKY 1989a, PARIS 1989
  • Partridge D., Sharkey N. E. Neural Computing for Software Reliability. Expert Systems 1994; 11: 167–175, PARTRIDGE 1994
  • Patrick K. L. Neural Network Keeps Bsw Filtrate Solids at Maximum, Uniform Levels. Pulp & Paper. 1991; 15: 55–58, PATRICK 1991
  • Paugam-Moisy H. Multiprocessor Simulation of Neural Networks. in ARBIB 1995a, PAUGAM-MOISY 1995
  • Pearl J. Bayesian Networks. in ARBIB 1995a, PEARL 1995
  • Perrone M. P. Averaging/Modular Techniques for Neural Networks. in ARBIB 1995a, PERRONE 1995a
  • Perrone M. P., Cooper L. N. Coulomb Potential Learning. in ARBIB 1995a, PERRONE 1995b
  • Peterson B. W. Heads Movements: Multidimensional Modeling. in ARBIB 1995a, PETERSON 1995a
  • Peterson C., Soderberg B O. Neural Optimization. in ARBIB 1995a, PETERSON 1995b
  • Petrov V., Gaspar V., Masereand J., Showalter K. Controlling Chaos in the Belousov-Zhabotinsky Reaction. Nature 1993; 361: 240–243, PETROV 1993
  • Pineda F. J. Time Dependent Adaptive Neural Networks. in TOURETZKY 1990a, PINEDA 1990
  • Pineda F. J. Recurrent Backpropagalion Networks. in CHAUVIN 1995, PINEDA 1995
  • Pinkas G. Energy Minimization and the Satisfiability of Propositional Logic. in TOURETZKY 1990d, PINKAS 1990
  • Piramuthu S., Shaw M. J., Gentry J. A. A Classification Approach Using Milti-Layered Neural Networks. Decision Support Systems 1994; 11: 509–525, PIRAMUTHU 1994
  • Pitts W., McCulloch W. S. How We Know Universais: The Perception of Auditory and Visual Form, Bulletin of Mathematical Biophysics. in ANDERSON 1988; 9: 127–147, PITTS 1947
  • Piatt J. C. Analog Circuits for Constrained Optimization. in TOURETZKY 1990a, PLATT 1990: PLAUT, 1995: D. C. Plaut,Lesioned Attractor Networks as Models of Neuropsychological Deficits, in ARBIB 1995a
  • Plummer J. Tighter Process Control with Neural Networks. AI Expert 1993; 8: 49–55, PLUMMER 1993
  • Plunkett K., Marchman V., Knudsen S. L. From Rote Learning to System Building: Acquiring Verb Morphology in Children and Connectionist Nets. in TOURETZKY 1990d, PLUNKETT 1990
  • Plunkett K. Language Acquisition. in ARBIB 1995a, PLUNKETT 1995
  • Pomerleau D. A. Alvinn: An Autonomous Land Vehicle in a Neural Network. in TOURETZKY 1989a, POMERLEAU 1989
  • Pomerleau D. A. Vision for Robot Driving. in ARBIB 1995a, POMERLEAU 1995
  • Pdppel E., Schill K. Time Perception: Problems of Representation and Processing. in ARBIB 1995a, PÖPPEL 1995
  • Potvin J Y., Shen Y., Rousseau J. M. Neural Networks for Automated Vehicle Dispatching. Computers & Operations Research 1992; 19: 267–276, POTVIN 1992
  • Pouget A., Sejnowsky T. J. Dynamic Remapping. in ARBIB 1995a, POUGET 1995
  • Proctor R. A. An Expert System to Aid in Staff Selection: a Neural Network Approach. International Journal of Manpower 1991; 12: 18–21, PROCTOR 1991
  • Proctor R. A. Marketing Decision Support Systems: a Role for Neural Networking. Marketing Intelligence & Planning 1992; 10: 21–26, PROCTOR 1992
  • DTI Neural Computing Applications Portfolio, 5.45. JFIT, LondonUK 1993, PRODUCT PRICING SENSITIVITY ANALYSIS 1993
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.37: 5.38, PROPERTY VALUATION 1993
  • Pugh G. A. Synthetic Neural Networks for Process Control. Computers & Industrial Engineering 1989; 17: 24–26, PUGH 1989
  • Pugh G. A. A Comparison of Neural Networks to SPC Charts. Computers & Industrial Engineering 1991; 21: 253–255, PUGH 1991
  • DTI Neural Computing Applications Portfolio, 5.63. JFIT, LondonUK 1993, QUALITY CONTROL IN LIVESTOCK CARCASSES 1993
  • Quinlan P. T. Connectionism and Psychology: A Psychological Perspective on New Connectionist Research. Harvester Wheatsheaf, Hemel Hempstead 1991, QUINLAN 1991
  • Rail W. Perspective on Neuron Model Complexity. in ARBIB 1995a, RALL 1995
  • Rangarajan A., Chellappa R. Markov Random Field Models in Image Processing. in ARBIB 1995a, RANGARAJAN 1995
  • Rangwala S. S., Dornfeld D. A. Learning and Optimization of Machining Operations Using Computing Abilities of Neural Networks, IEEE Transactions on Systems. Man and Cybernetics 1989; 19: 299–314, RANGWALA 1989
  • Rao H. A., Gu P. Expert Self-Organizing Neural Network for the Design of Cellular Manufacturing Systems. Journal of Manufacturing Systems 1994; 13: 346–358, RAO 1994
  • Rawling G. Foundations of Genetic Algorithms. Morgan Kaufman, San Mateo, CA. 1991, RAWLING 1991
  • Ray A. K. Equipment Fault Diagnosis–A Neural Network Approach. Computers in Industry 1991; 16: 169–177, RAY 1991
  • Reed R., Marks R. J., II. Neurosmithing: Improving Neural Network Learning. in ARBIB 1995a, REED 1995
  • Reinschmidt K. F. Neural Networks: Next Step for Simulation and Control. Power Engineering 1991; 95: 41–45, REINSCHMIDT 1991
  • Reklaitis G. V., Tsirukis A. G., Tenorio M. F. Generalized Hopfield Networks and Nonlinear Optimization. in TOURETZKY 1990a, REKLAITIS 1990
  • Rhodes P. A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes. in TOURETZKY 1990a, RHODES 1990
  • Ricciardi L. M. Diffusion Models of Neuron Activity. in ARBIB 1995a, RICCIARDI 1995
  • Ripley B. D. Pattern Recognition and Neural Networks. University of Oxford, Cambridge University Press. 1996, RIPLEY 1996
  • Ritter H. Self-Organizing Feature Maps: Kohonen Maps. in ARBIB 1995a, RITTER 1995
  • Rizzolatti G., Luppino G., Matelli M. Grasping Movements: Visuomotor Transformations. in ARBIB 1995a, RIZZOLATTI 1995
  • Robertson R. M. Locust Flight: Components and Mechanisms in the Motor. in ARBIB 1995a, ROBERTSON 1995
  • Rochester N., Hollans J. H., Haibt L. H., Duda W. L. Tests on a cell assembly theory of the action of the brain, using a large digital computer, IRE Transactions on Information Theory, IT-2. in ANDERSON 1988; 80–93, ROCHESTER 1956
  • Rogers D. Statistical Prediction with Kanerva's Sparse Distributed Memory. in TOURETZKY 1989a, ROGERS 1989
  • Rogers D. Predicting Weather Using a Genetic Memory: A Compbination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms. in TOURETZKY 1990a, ROGERS 1990
  • Rohwer R. The 'Moving Targert' Training Algorithm. in TOURETZKY 1990a, ROHWER 1990
  • Rose D. E. Appropriate Uses of Hybrid Systems. in TOURETZKY 1990d, ROSE 1990
  • Rosenblatt F. The Perceptron: a probabilistic model for information storage and organization in the brain, Psychological Review. in ANDERSON 1988; 65: 386–526, ROSENBLATT 1958
  • Rosenblatt F. Principles of Neurodynamics. Spartan, N.York 1962, ROSENBLATT 1962
  • Rost B., Sander C. Protein Structure Prediction. in ARBIB 1995a, ROST 1995
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.47–5.48, ROUTE SCHEDULING OPTIMISATION 1993
  • Ruelle D. Hasardet Chaos. Editions Odile Jacob, Paris 1991, RUELLE 1991
  • Parallel Distributed Processing. Foundations, Explorations in the Microstructure of Cognition, D. E. Rumelhart, J. L. McClelland. Psychological and Biological Models. The MIT Press, Cambridge, London, England, MA 1986; Vol. 1, Vol. 2 RUMELHART 1986a
  • A General Framework for Parallel Distributed Processing. in RUMELHART, D. E. Rumelhart, Q. E. Hinton, J. L. McClelland, 1986a; 1: 1, RUMELHART 1986b
  • Learning Internal Representations by Error Propagation. in RUMELHART, D. E. Rumelhart, G. E. Hinton, R. J. Williams, 1986a; 1: 1, RUMELHART 1986c
  • PDP Models and General Issues in Cognitive Science. in RUMELHART, D E. Rumelhart, J. L. McClelland, 1986a; 1: 1, RUMELHART 1986d
  • Learning representations by back-propagating errors Nature. in ANDERSON, D. E. Rumelhart, G. E. Hinton, R. J. Williams, 1988; 323: 533–536, RUMELHART 1986e
  • Feature Discovery by Competitive Learning. in RUMELHART, D E. Rumelhart, D Zipser, 1986a; 1: 1, RUMELHART 1986f
  • Learning Internal Representations by Error Propagation. in RUMELHART, D. E. Rumelhart, G. E.R. Hinton. i. Williams. 1986a; 1: 1, RUMELHART 1986g: 1986
  • Schemata and Sequential Thought Processes in PDP Models. in RUMELHART, D. E. Smolensky, P. Rumelhart, J. L. McClelland, G. E. Hinton, 1986a; 2: 2, RUMELHART 1986h
  • On Learning the Past Tenses of English Verbs. in RUMELHART, D. E. Rumelhart, J. L. McClelland, 1986a; 2: 2, RUMELHART 1986i
  • Richard Golden and Yves Chauvin. in CHAUVIN, D. E. Durbin, R. Rumelhart. Backpropagation: The Basic Theory. 1995, RUMELHART 1995
  • Ryan T. W., Winter C. L. Variations on Adaptive Resonance. in CARPENTER 1991, RYAN 1991
  • Ryckebusch S., Bowen J. M., Mead C. Modeling Small Oscillating Biological Networks in Analog VLSI. in TOURETZKY 1989a, RYCKEBUSCH 1989
  • Sanger T. D. Basis-Function Trees for Approximation in High Dimensional Spaces. in TOURETZKY 1990d, SANGER 1990
  • Saha A., Keeler J. D. Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks. in TOURETZKY 1990a, SAHA 1990
  • Salchenberger L. M., Cinar E. M., Lash N. A. Neural Networks: a New Tool for Predicting Thrift Failures. Decision Sciences 1992; 23: 899–916, SALCHENBERGER 1992
  • Samad T. “Back-Propagation is significantly … ”. International Neural Network Society Conference Abstracts 1988, SAMAD 1988
  • Samad T. Back-Propagation Extension, Honeywell SSDC Technical Report, 1000 Bane Ave, N., Golden Valley. NN 55427 1989, SAMAD 1989
  • Sanger T. D. An Optimality Principle for Unsupervised Learning. in TOURETZKY 1989a, SANGER 1989
  • Satake T., Morikawa K., Nakamura N. Neural Network Approach for Minimizing the Makespan of the General Job-Shop. International Journal of Production Economics 1994; 33: 67–74, SATAKE 1994
  • Satyanarayana S., Tsividis Y., Hans Graf P. A Reconfigurable Analog VLSI Neural Network Chip. in TOURETZKY 1990a, SATYANARAYANA 1990
  • Saund E. Abstraction and Representation of Continuous Variables in Connectionist Networks. Proceedings of the Fifth National Conference on Artificial Intelligence. 1986, 638–644, SAUND 1986
  • Schley C., Yves Chauvin, Henkle V. Automated Aircraft Flare and Touchdown Control Using Neural Network. in CHAUVIN 1995, SCHLEY 1995
  • Schmajuk N. A. Cognitive Maps. in ARBIB 1995a, SCHMAJUK 1995a
  • Schmajuk N. A. Conditioning. in ARBIB 1995a, SCHMAJUK 1995b
  • Schmucher K. J. Fuzzy Sets, Natural Language Computation and Risk Analysis. Computer Science Press, Rockville, Maryland 1984, SCHMUCHER 1984
  • Schüz A. Neuroanatomy in a Computational Perspective. in ARBIB 1995a, SCHÜZ 1995
  • Schwartz D. B., Howard R. E., Hubbart W. E. Adaptive Neural Networks UsinMOS Charge Storage. in TOURETZKY 1989a, SCHWARTZ 1989
  • Schyns P. G. A Modular Neural Networks Model of the Acquisition of Category Names in Children. in TOURETZKY 1990d, SCHYNS 1990
  • Schyns P. G., Rodet L. Concept Learning. in ARBIB 1995a, SCHYNS 1995
  • Schmidhuber J. Learning Algorithms for Networks with International and External Feedback. in TOURETZKY 1990d, SCMIDHUBER 1990
  • Searle J. R. Is the Brain's Mind a Computer Program?. Scientific American January, 1990; vol. 262(n. 1), SEARLE 1990: Segev, Dendritic Processing, in ARBIB 1995a SEGEV 1995 :1
  • Segundo J. P., Stiber M. J., Vibert F. Synaptic Coding of Spike Trains. in ARBIB 1995a, SEGUNDO 1995
  • Seibert M., Waxman A. M. Learning Aspect Graph Representations from View Sequences. in TOURETZKY 1990a, SEIBERT 1990
  • Seidenberg M. S. Linguistic Morphology. in ARBIB 1995a, SEIDENBERG 1995
  • Sejnowski T. J., Rosenberg C. R. NETtalk: a parallel network that learns to read aloud, The Johns Hopkins University Electrical Engineering and Computer Science Technical Report JHU/EECS-86/01. in ANDERSON 1988; 32, SEJNOWSKI 1986a
  • Sejnowski T. J., McCormick D. A., Steriade M. Thalamocortical Oscillations in Sleep and Wakefulness. in ARBIB 1995a, SEJNOWSKI 1995
  • Sejnowski T. J. Open Questions About Computation in Cerebral Corterx. in RUMELHART 1986a; 2: 2, SEJNOWSKI 1986b
  • Sejnowski T. J., Yuhas B. P., Goldstein M. H., Jr., Jenskins R. E. Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. in TOURETZKY 1990a, SEJNOWSKI 1990
  • Selfridge O. G. Pattern Recognition and Learning. Proceedings of The Third London Symposium of Information Theory. Academic Press, New York 1956; 345, SELFRIDGE 1956
  • Selfridge O. G. (1988) Pandemonium: a paradigm for learning, Mechanisation of Thought Processes. Proceedings of a Symposium Held at the National Physical Laboratory, London, November, 1957. HMSO, 513–526, SELFRIDGE 1958: in ANDERSON
  • Sereno M. E. Neural Computation of Pattern Motion: Modeling Stages of Motion Analysis in the Primate Visual Cortex, a Bradford Book. Learning Sequential Structure in Simple Recurrent Networks in TOURETZKY, D. Servan-Schreiber, A. Cleeremans, J. L. McClelland. The MIT Press, Cambridge, Massachusetts, London, England 1993, SERENO 1993: SERVAN-SCHREIBER 1989: 1989a
  • Servan-Schreiber D., Printz H., Cohen J. D. The Effect of Catecholamines on Performance: From Unit to System Behavior. in TOURETZKY 1990a, SERVAN-SCHREIBER 1990
  • Shadmehr R. Equilibrium Point Hypothesis. in ARBIB 1995a, SHADMEHR 1995
  • Shamma S. A. Auditory Cortex. in ARBIB 1995a, SHAMMA 1995
  • Sharkey A. J. C., Sharkey N. E. Cognitive Modeling: Psychology and Connectionism. in ARBIB 1995a, SHARKEY 1995
  • Shastri L. StructuredConnectionist Models. in ARBIB 1995a, SHASTRI 1995
  • Shavlik J. W. Learning by Symbolic and Neural Methodes. in ARBIB 1995a, SHAVLIK 1995
  • Shimabukuro R. L., Shoemaker P. A., Guest C. C., Carlin M. J. Optimal Dimensionality Reduction Using Hebbian Learning. in TOURETZKY 1990d, SHIMABUKURO 1990
  • Shinbrot T., Grebogi C., Ott E., Yorke J. A. Using Small Perturbations to Control Chaos. Nature 1993; 363: 411–417, SHINBROT 1993
  • Shouval H. Z., Perrone M. P. Post-Hebbian Learning Rules. in ARBIB 1995a, SHOUVAL 1995
  • Shynk J. J. Adaptive Filtering. in ARBIB 1995a, SHYNK 1995
  • Sieger D. B., Badiru A. B. An Artificial Neural Network Case Study: Prediction Versus Classification in a Manufacturing Application. Computers & Industrial Engineering 1993; 25: 381–384, SIEGER 1993
  • Silvermann. Density Estimation for Statistics and Data Analysis. Chapman and Hall, London 1986, SILVERMANN 1986
  • Silvi Antonini P. Vita Artificial. Dal Golem agli Automi Cellulari. Apogeo, Editrice di Informatica, Milan 1995, [Artificial Life. From Golem to the Cellular Automata]. SILVI ANTONINI 1995
  • Sim S. K., Yeo K. T., Lee W. H. An Expert Neural Network System for Dynamic Job Shop Scheduling. International Journal of Production Research 1994; 32: 1759–1773, SIM 1994
  • Simmons J. A. Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images. in TOURETZKY 1990a, SIMMONS 1989
  • Simpson P. K. Artificial Neural Systems: Foundations Paradigms, Applications, and Implementations. Pergamon, Elmsford, NY 1990, SIMPSON 1990
  • Singer W. Neuronal Activity as a Shaping Factor in the Self-Organization of Neuron Assemblies. in CARPENTER 1991, SINGER 1991
  • Singer W. Synchronization of Neuronal Responses as a Putative Binding Mechanism. in ARBIB 1995a, SINGER 1995
  • Sivilotti M. A., Mahowald M. A., Mead C. A. Real-time visual computations using analog CMOS processing arrays, Advances Research in VLSI. Proceedings of the 1987 Standford Conference, P Losleben. MIT Press, Cambridge, MA 1988; 295–312, SIVILOTTI 1987: ANDERSON
  • Smith K. R., Miller M. I. Bayesian Inference of Regular Grammar and Markov Source Models. in TOURETZKY 1990a, SMITH 1990
  • Smith A. E., Dagli C. H. Controlling Industrial Processes Through Supervised, Feedforward Neural Networks. Computers & Industrial Engineering 1991; 21: 247–251, SMITH 1991
  • Smith M. Neural Networks for Statistical Modeling. Van Nostrand Reihnold, New York 1993, SMITH 1993
  • Smith A. E. X-Bar and R Control Chart Interpretation Using Neural Computing. International Journal of Production Research 1994; 32: 309–320, SMITH 1994
  • Smith R. G. Retina. in ARBIB 1995a, SMITH 1995
  • Smolensky P. Information Processing in Dynamical Systems: Foundations of Harmony Theory. in RUMELHART 1986a; 1: 1, SMOLENSKY 1986
  • Smolensky P. Neural and Conceptual Interpretation of PDP Models. in RUMELHART 1986a; 2: 2, SMOLENSKY 1986
  • Smotroff I. G. Dataflow Architecture: Flexible Platform for Neural Network Simulation. in TOURETZKY 1990a, SMOTROFF 1990
  • Sofiky W. R., Kammen D. M. Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment. in TOURETZKY 1990a, SOFIKY 1990
  • Softky W., Koch C. Single-Cell Models. in ARBIB 1995a, SOFTKY 1995
  • Sontag E. D. Automata and Neural Networks. in ARBIB 1995a, SONTAG 1995
  • Sorsa T., Koivo H. N., Koivisto H. Neural Networks in Process Fault Diagnosis, IEEE Transactions on Systems. Man and Cybernetics 1991; 21: 815–825, SORSA 1991
  • Soucek B. Neural and Intelligent Systems Integration: Fifth and Sixth Generation Integrated Reasoning Information Systems. John Wiley & Sons, TorontoCanada 1991, SOUCEK 1991
  • Spence C. D., Pearson J. C., Gelfand J. J., Peterson R. M., Sullivan W. E. Neuronal Maps for Sensory-Motor Control in the Barn Owl. in TOURETZKY 1989a, SPENCE, 1990: C. D. Spence and J. C. Pearson, The Computation of Sound Source Elevation in the Barn Owl, in TOURETZKY 1990a SPENCE 1989
  • Stafylopatis A., Likas A. Pictorial Information Retrieval Using the Random Neural Network. IEEE Transactions on Software Engineering 1992; 18: 590–600, STAFYLOPATIS 1992
  • Staib W. E., McNames J. N. Steelmaking. in ARBIB 1995a, STAIB 1995
  • Stanton P. K., Sejnowski T. J. Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus. in TOURETZKY 1989a, STANTON 1989
  • Steels L. Artificial Intelligence and Complex Dynamics. in Note di Software. Milan 1987, STEELS 1987: n. 41
  • Stein P. S. G. Scratch Reflex. in ARBIB 1995a, STEIN 1995
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.3–5.4, STOCK MARKET PREDICTION 1993
  • Stone G. O. An Analysis of the Delta Rule and the Learning of Statistical Associations. in RUMELHART 1986a; 1: 1, STONE 1986
  • Storrie-Lombardi M. C., Lahav O. Astronomy. in ARBIB 1995a, STORRIE-LOMBARDI 1995
  • Suga N., Kanwal J. S. Echolocation: Creating Computational Maps. in ARBIB 1995a, SUGA 1995
  • Suresh N. C., Kaparthi S. Performance of Fuzzy ART Neural Network for Group Technology Cell Formation. International Journal of Production Research 1994; 32: 1693–1713, SURESH 1994
  • Swales G. S., JR., Yoon Y. Applying Artificial Neural Networks to Investment Analysis. Financial Analysis Journal 1992; 48: 78–80, SWALES 1992
  • Szu H., Telfer B. Automatic Target Recognition. in ARBIB 1995a, SZU 1995a
  • Szu H., Telfer B. Wavelet Dynamics. in ARBIB 1995a, SZU 1995
  • Tarn K. Y., Kiang M. Predicting Bank Failures: A Neural Network Approach. Applied Artificial Intelligence 1990; 4: 265–282, TAM 1990
  • Tarn K. Y. Neural Network Models and the Prediction of Bank Bankruptcy. Omega-The International Journal of Management Science 1991; 19: 429–445, TAM 1991
  • Tarn K. Y., Kiang M. Y. Managerial Applications of Neural Networks: The Case of Bank Failure Predictions. Management Science 1992; 38: 926–947, TAM 1992
  • Tang D. S. Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net. in TOURETZKY 1990a, TANG 1990
  • Tanguay A. R., Jr., Jenkins B. K. Optical Components for Neural Network Implementations. in ARBIB 1995a, TANGUAY 1995
  • Tawel R. Does Neuron Learn Like the Synapse?. in TOURETZKY 1989a, TAWEL 1989
  • Taylor J. G. Self-Organization in the Time Domain. in ARBIB 1995a, TAYLOR 1995
  • Tenorio M. F., Lee W. T. Self Organizing Neural Networks for the Identification Problem. in TOURETZKY 1989a, TENORIO 1989
  • Tesauro G. Connectionist Learning of Expert Preferences by Comparison Training. in TOURETZKY 1989a, TESAURO 1989
  • Thorpe S. J. Localized Versus Distributed Representations. in ARBIB 1995a, THORPE 1995
  • Thrun S. Exploration in Active Learning. in ARBIB 1995a, THRUN 1995
  • Tittle J. S., Tood J. T. Perception of Three-Dimensional Structure. in ARBIB 1995a, TITTLE 1995
  • Toffoli T. Cellular Automata. in ARBIB 1995a, TOFFOLI 1995
  • Torkkola K., Kohonen T. Speech Recognition: A Hybrid Approach. in ARBIB 1995a, TORKKOLA 1995
  • Torras C. Robot Control. in ARBIB 1995a, TORRAS 1995
  • Tou J., Heydorn R. Some Optimal Approaches to Feature Extraction. Computer and Information Sciences II, J. Tou. Academic Press, New York 1967, TOU 1967
  • Toure S., Rabelo L., Velasco T. Artificial Neural Networks for Flexible Manufacturing Systems Scheduling. Computers & Industrial Engineering 1993; 25: 385–388, TOURE 1993
  • Touretzky D. S. Connectionist Models. Proceedings of the 1988 Summer School. Morgan Kaufman, San Mateo, CA 1988, TOURETZKY 1988
  • Advances in Neural Information Processing Systems, D.S. Touretzky. Morgan Kaufman, San Mateo, CA 1989; vol. 1, TOURETZKY 1989a
  • Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks. in TOURETZKY, D S. Touretzsky, 1989a, TOURETZKY 1989b
  • Advances in Neural Information Processing Systems, D S. Touretzky. Morgan Kaufman, San Mateo, CA 1990; vol. 2, TOURETZKY 1990a
  • Touretzky D. S., Wheeler D. W. A Computational Basic for Phonology. in TOURETZKY 1990a, TOURETZKY 1990b
  • Rule Representations in a Connectionist Chunker. in TOURETZKY, D S. Touretzky, G. Elvgren, III, 1990a, TOURETZKY 1990c
  • Connectionist Models. Proceedings of the 1990 Summer School, D S. Touretzk. Morgan Kaufman, San Mateo, CA 1990, TOURETZKY 1990d
  • Touretzky D. S. Parallel Mapping Circuitry in a Phonological Model. in TOURETZKY 1990d, TOURETZKY 1990e
  • Touretzky D. S. Connectionist and Symbolic Representations. in ARBIB 1995a, TOURETZKY 1995
  • Trippi R. R., Desieno D. Trading Equity Index Futures With a Neural Network. The Journal of Portfolio Management 1992; 19: 27–33, TRIPPI 1992
  • Trippi R. R., Turban E. Neural Networks in Finance and Investing. Probus, Chicago, IL 1993, TRIPPI 1993
  • Tsung F. S. Learning in Recurrent Finite Difference Networks. in TOURETZKY 1990d, TSUNG 1990
  • Turban E. Decision Support and Expert Systems: Management Support Systems. Prentice Hall, Englewood Cliffs, NJ 1995, TURBAN 1995
  • DTI Neural Computing Applications Portfolio. JFIT, LondonUK 1993; 5.31–5.32, TYRE QUALITY-CONTROL 1993
  • Udo G. Neural Network Performance on the Bankruptcy Classification Problem. Computers & Industrial Engineering 1993; 25: 377–380, UDO 1993
  • Ungar L. H. Forecasting. in ARBIB 1995a, UNGAR 1995a
  • Ungar L. H. Process Control. in ARBIB 1995a, UNGAR 1995b
  • Uttley A. M. Conditional Probability Machines, In Automata Studies. Princeton University, N.J 1956; 253–285, UTTLEY 1956: 1956
  • Vaithyanathan S., Ignizio J. P. A Stochastic Neural Network for Resource Constrained Scheduling. Computers & Operations Research 1992; 19: 241–254, VAITHYANATHAN 1992
  • Van Dijk T. Text and Context. Explorations in the Semantics and Pragmatics of Discourse. Longman, New York 1977, Van DIJK 1977
  • Van Gisbergen J. A.M., Van Opstal A J. Collicular Visuomotor Transformations for Saccades. in ARBIB 1995a, Van GISBERGEN 1995
  • Vapnik V. Learning and Generalization: Theoretical Bounds. in ARBIB 1995a, VAPNIK 1995
  • Velasco T, Rowe M. R. Bank Propagation Artificial Neural Networks for the Analysis of Quality Control Charts. Computers & Industrial Engineering 1993; 25: 397–400, VELASCO 1993
  • Velmans M. Consciousness, Theories of. ARBIB 1995a, VELMANS 1995
  • Venugopal V, Narendran T. T. Neural Network Model for Design Retrieval in Manufacturing Systems. Computers in Industry 1992; 20: 11–23, VENUGOPAL 1992
  • Venugopal V, Narendran T. T. Machine-Cell Formation Through Neural Network Models. International Journal of Production Research 1994; 32: 2105–2116, VENUGOPAL 1994
  • Viliegas L, Eberts R. E. A Neural Network Tool for Identifying Text-Editing Goals. International Journal of Human-Computer Studies 1994; 40: 813–833, VILLEGAS 1994
  • Viola P. A. Neurally Inspired Plasticity in Oculomotor Processes. TOURETZKY 1990a, VIOLA 1990
  • VonderMalsburg C. Self-Organization of Orientation Sensitive Cells in the Striate Cortex. Kybernetik 1988; 14: 85–100, ANDERSON Von der MALSBURG 1973
  • VonderMalsburg C. Self-Oraganization of Orientation Sensitive Cells in the Striate Cortex. in CARPENTER 1991, Von der MALSBURG 1991
  • VonderMalsburg C. Dynamic Link Architecture. in ARBIB 1995a, Von der MALSBURG 1995a
  • VonderMalsburg C. Self-Organization and the Brain. ARBIB 1995a, Von der MALSBURG 1995b
  • Wahba G. Generalization and Regularization in Nonlinear Learning Systems. ARBIB 1995a, WAHBA 1995
  • Waibel A, Hanazawa T, Hinton G, Shikano K, Lang K. J. Phoneme Recognition Using Time-Delay Neural Network. CHAUVIN 1995, WAIBEL 1995
  • Waldrop M. M. Conplexity, The Emerging Science at the Edge of Order and Chaos. New York Simon & Schuster, 1992., London Viking 1993, WALDROP 1992
  • Walker M. R., Haghighi S, Afghan A, Akers L. A. Training a Limited-Interconnect, Synthetic Neural IC. TOURETZKY 1989a, WALKER 1989
  • Waltz D. L., Feldman J. A. Connectionist Models and Their Implications: Reading From Cognitive Science. Morwood, M.J., Ablex 1988, WALTZ 1988
  • Waltz D. L. Memory-Based Reasoning. ARBIB 1995a, WALTZ 1995
  • Wan E. A. Temporal Backpropagation: An Efficient Algorithm for Finite Impulse Response Neural Networks. TOURETZKY 1990d, WAN 1990
  • Wang J, Takefuji Y. Neural Networks in Design and Manufacturing. World Scientific, Farrer Road, Singapore 1993, WANG 1993a
  • Wang J. A Neural Network Approach to Multiple-Objective Cutting Parameter Optimization Based on Fuzzy Preference Information. Computers & Industrial Engineering. 1993; 25: 389–392, WANG 1993b
  • Wang Q, Sun X, Golden B. L., Desilets L, Walis E. A., Luco S, Peck A. A Neural Network Model for the Wire Bonding Process. Computers & Operations Research 1993; 20: 879–888, WANG 1993c
  • Wang D. Habituation. ARBIB 1995a, WANG 1995a
  • Wang D. Temporal Pattern Processing. in ARBIB 1995a, WANG 1995b
  • Wang X, Blum E. K. Dynamics and Bisurcation of Neural Networks. in ARBIB 1995a, WANG 1995c
  • Wang X.-J, Rinzel J. Oscillatory and Bursting Properties of Neurons. in ARBIB 1995a, WANG 1995d
  • Wasserman P. D. Neural Computing: Theory and Practice. Van Nostrand Reinhold, New York 1989, WASSERMAN 1989
  • Wasserman P. D., Oetzel R. M. Neural Source: The Bibliographic Guide to Artificial Neural Networks. Van Nostrand Reinhold, New York, NY 1990, WASSERMAN 1990
  • Watzlawick P, Beavin J. H., Jackson D. D. Pragmatic of Human Communication. W.W. Norton, New York 1967, WATZLAWICK 1967
  • Waxman A. M., Seibert M, Cunningham R, Wu J. Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal. TOURETZKY 1989a, WAXMAN 1989
  • Waxman A. M., Seibert M, Bachelder I. A. Visual Processing of Object Form and Environment Layout. ARBIB 1995a, WAXMAN 1995
  • Weigend A. S., Rumelhart D. E., Huberman B. A. Back Propagation, Weight-Eliminattion and Time Series Prediction. TOURETZKY 1990d, WEIGEND 1990
  • Weigend A. S., Rumelhart D. E., Huberman B. A. Back-Propagation, Weight-elimination and Time Series Prediction. in AA.VV 1991, WEIGEND 1991
  • Weinshall D, Edelman S, Bulthoff H. H. A Self-Organizing Multiple-View Representation of 3D Objects. TOURETZKY 1990a, WEINSHALL 1990
  • Weitzenfeld A. NSL: Neural Simulation Language. ARBIB 1995a, WEITZENFELD 1995
  • Wejchert J, Tesauro G. Neural Network Visualization. in TOURETZKY 1990a, WEJCHERT 1990
  • Werbos P. Beyond Regression: New Tools for Prediction and Analysis in Behavioral Sciences. Phd Thesis, Harvard, Cambridge, MA 1974, WERBOS 1974
  • Werbos P. J. Maximizing Long-Term Gas Industry Profits to Two Minutes in Lotus Using Neural Network Methods. IEEE Transactions on Systems, Man and Cybernetics 1989; 19: 315–333, WERBOS 1989
  • Werbos P. J. The Roots of Backpropagation. John Wiley & Sons, Inc. 1994, WERBOS 1994
  • Werbos P. J. Backpropagation: Basics and New Developments. in ARBIB 1995a, WERBOS 1995
  • Widrow B, Hoff M. E. Adaptive switching circuits. IRE WESCON Convention Record, New York, IRE 1960-1988; 96–104, ANDERSON WIDROW 1960
  • Widrow B, Steams S. D. Adaptive Signal Processing, Signal Processing Series. Prentice-Hall, Englewood CliffsNJ 1985, WIDROW 1985
  • Widrow B, Lehr M. A. Noise Canceling and Channel Equalization. in ARBIB 1995a, WIDROW 1995a
  • Widrow B, Lehr M. A. Perceptrons, Adalines, and Backpropagation. in ARBIB 1995a, WIDROW 1995b
  • Wieiand A. P. Backpropagation and Its Application to Handwritten Signature Verification. in TOURETZKY 1989a, S. Wilkinson, D. A. Mighell, J. W. Goodman. Evolving Controls or Unstable Systems in TOURETZKY 1990d, Wilkinson 1989, WIELAND 1990
  • Williams R. J. Logic of Activation Functions. RUMELHART 1986a; vol. 1, WILLIAMS 1986
  • Williams C. K.I., Hinton G. E. Mean Field Networks that Learn to Discriminate Temporally Distorted Strings. TOURETZKY 1990d, WILLIAMS 1990
  • Williams R. J., Zipser D. Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity. CHAUVIN 1995, WILLIAMS 1995a
  • Williams T. L., Sigvardt K. A. Spinal Cord of Lamprey: Generation of Locomotor Patterns. ARBIB 1995a, WILLIAMS 1995b
  • Willshaw D. J., Buneman O. P., Longuet-Higgins H. C. Non-holographic associative memory. Nature ANDERSON 1988; 222: 960–962, WILLSHAW 1969
  • Wilson M. A., Bower J. M. Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks. in TOURETZKY 1990a, WILSON 1990
  • Wilson R. L., Sharda R. Bankruptcy Prediction Using Neural Networks. Decision Support Systems 1994; 11: 545–557, WILSON 1994
  • Wilson M. A., Shepherd G. M. Olfactory Cortex. in ARBIB 1995a, WILSON 1995
  • Winfree A. T. Wave Propagation in Cardiac Muscle and in Nerve Networks. in ARBIB 1995a, WINFREE 1995
  • Winter C. L. An Adaptive Network That Learns Sequences of Transitions. in TOURETZKY 1989a, WINTER 1989
  • Winter D. A. Human Movement: A System-Level Approach. in ARBIB 1995a, WINTER 1995
  • Wong F. S., Wang P. Z., Goh T. H., Quek B. K. Fuzzy Neural Systems for Stock Section. Financial Analysts Journal 1992; 48: 47–52; 74, WONG 1992
  • Yair E, Gersho A. The Boltzmann Perceptron Network: A Multi-Layer Feed-Forward Network Equivalent to the Boltzman Machine. in TOURETZKY 1989a, YAIR 1989
  • Yamamoto Y, Zenios S. A. Predicting Prepayment Rates for Mortgages Using the Cascade-Correlation Learning Algorithm. The Journal of Fixed Income 1993; 2: 86–96, YAMAMOTO 1993
  • Yamashina H, Kumamoto H, Okumura S, Ikesaki T. Failure Diagnosis of a Servovahe by Neural Networks with New Learning Algorithm and Structure Analysis. International Journal of Production Research 1990; 28: 1009–1021, YAMASHINA 1990
  • Yih Y, Liang P T., Moskowitz H. Robot Scheduling in a Circuit Board Production Line: a Hybrid Or/Ann Approach. HE Transactions 1993; 25: 26–33, YIH 1993
  • Yoh-Han P AO. Pattern Recognition and Neural Network. Addison Wesley 1990, YOH-HAN PAO 1990
  • Yoon Y, Swales G, Jr, Margavio T. M. A Comparison of Discriminant Analysis Versus Artificial Neural Networks. Journal of the Operational Research Society 1993; 44: 51–60, YOON 1993
  • Yoon Y, Guimaraes T, Swales G. Integrating Artificial Neural Networks with Rule-Based Expert Systems. Decision Support Systems 1994; 11: 497–507, YOON 1994
  • Yoshizawa S. Nonmonotonic Neuron Associative Memory. ARBIB 1995a, YOSHIZAWA 1995
  • Yuille A. L. Constrained Optimization and the Elastic Net. ARBIB 1995a, YUILLE 1995a
  • Yuille A. L., Geiger D. Winner-Take-All Mechanisms. ARBIB 1995a, YUILLE 1995b
  • Zahedi F. Intelligent Systems for Business: Expert Systems with Neural Networks. Wadsworth, Belmont, California 1993, ZAHEDI 1993
  • Zak M, Toomarian N. Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach. TOURETZKY 1990a, ZAK 1990
  • Zapranis A. D., Refenes A. N. Investment Management: Tactical Asset Allocation. ARBIB 1995a, ZAPRANIS 1995
  • Zeidenberg M. Neural Network Models in Artificial Intelligence. Ellis Horwood, ChicesterEngland 1990
  • Zell A., Mache N., Sommer T, Korb T. Design of the SNNS Neural Network Simulator. Universitat Stuttgart, 1PVR, Stuttgart 1992, ZEIDENBERG 1990
  • Zemel R. S., Mozer M. C., Hinton G. E. TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Trasformatio ZELL 1992. in TOURETZKY 1990a, ZEMEL 1990
  • Zemel R. S. Minimum Description Length Analysis. in ARBIB 1995a, ZEMEL 1995
  • Zhang X, McKenna M, Mesirov J. P., Waltz D. L. An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2. TOURETZKY 1990a, ZHANG 1990
  • Zippelius A, Engel E. Statistical Mechanics of Learning. Statistical Mechanics of Neural Networks. ARBIB 1995a, ZIPPELIUS 1995
  • Zipser D, Rabin D. E. Pi: A Parallel Network Simulating System. RUMELHART 1986a; vol. 1, ZIPSER 1986a
  • Zipser D. Biologically Plausible Models of Place Recognition and Goal Location. RUMELHART 1986-1986a; vol. 2, ZIPSER 1986b
  • Zipser D. Subgrouping Reduces Compolexity and Speeds up Learning in Recurrent Networks. TOURETZKY 1990a, ZIPSER 1990
  • Zucker S. W. Perceptual Grouping. ARBIB 1995a, ZUCKER 1995

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.