References
- Ajjanagadde , V. and Shastri , L. 1991 . Rules and variables in neural networks . Neural Computation , 3 : 121 – 134 .
- Davis , L. 1991 . Handbook of Genetic Algorithms , New York : Van Nostrand Reinhold .
- Dubois , D. and Prada , H. 1980 . Fuzzy Sets and Systems: Theory and Application , Academic Press .
- Dutta , S. and Shekhar , S. Bond rating: a non-conservative application of neural networks . In Proceedings of IEEE International Conference on Neural Networks . San Diego.
- Goldberg , D. E. 1989 . Genetic Algorithms In Search, Optimisation and Machine Learning , Addison-Wesley .
- Goonatilake , S and Khebbal , S. Intelligent Hybrid Systems . In Proceedings of the First International Conference of Intelligent Systems . Singapore.
- Goonatilake , S. and Khebbal , S. 1994 . Intelligent Hybrid Systems , John Wiley . In Press
- de Groot , C and Wurtz , D. Analysis of univariate time series with connectionist networks: A case study of two classical examples . Munotec Workshop Neural Networks for Statistical and Economic Data . Dublin.
- Haasdijk , E. W. “ Genetic Algorithms in Business ” . In Genetic Algorithms in Optimisation, Simulation and Modelling , Edited by: Stender , J. , Hillebrand , E. and Kingdon , J. 157 – 184 . IOS Press .
- Hebb , D. O. 1949 . Organisation of Behaviour A Neuropsychological Theory , New York : Science Editions .
- Holland , J. H. 1975 . Adaptation in natural and artificial systems , Ann Arbor : The University of Michigan Press .
- Hopfield , J. J. 1984 . Neurons with Graded Response have Collective Computational Properties like those of Two-state Neurons . In Proceedings of National Academic Science , 81 : 3088 – 3092 .
- Humpert , B. 1984 . Neurocomputing in Financial Services . Expert Systems for Information Management , 2
- Karr , C. Design of an Adaptive Fuzzy Logic Controller using a Genetic Algorithm . In Proceedings of Fourth Genetic Algorithms Conference . pp. 450 – 457 .
- Kohonen , T. 1982 . Self Organized Formation of Topologically Correct Feature Maps . Biological Cybernetics , 43 : 59
- Kimoto , T. , Asakawa , K. , Yoda , M. and Takeoda , M. Stock Market Prediction System with Modular Neural Networks . In Proceedings of the International Joint Conference on Neural Networks . San Diego. Vol. 1 , pp. 1 – 6 .
- Kingdon , J. Neural Nets for Time Series Forecasting: Criteria for Performance with an Application in Gilt Futures Pricing . In Proceedings of the First International Workshop on Neural Networks in the Capital Markets . London.
- Lapedes , A. S. and Farber , R. “ Non-linear Signal Processing using Neural Networks: Prediction and System Modelling ” . In Technical Report LA-UR-87 Los Alamos National Laboratory
- Minsky , M. and Papert , S. 1969 . Perceptrons , Cambridge MA : MIT Press .
- McCulloch , W. W. and Pitts , W. 1943 . A logical calculus of ideas imminent in nervous activity . Bulletin of Mathematical Biophysics , 5 : 115 – 133 .
- Moody , J. and Utans , J. 1992 . Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating . Advances in Neural Information Processing Systems , 4
- Ormerod , P. , Taylor , J. C. and Walker , T. 1991 . “ Neural Networks in Economics ” . In Money and Financial Markets , Blackwell .
- Otsuka , Y. , Hanaoka , K. and Konishi , M. “ Applications of Neural Networks Models to Iron and Steel Making Processes ” . In In Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks , 815 – 818 . Iizuka .
- Powell , D. J. , Skolnich , M. M. , Tong , S. S. and Davis , L. 1991 . “ Interdigitation: A Hybrid Technique for Engineering Design Optimization Employing Genetic Algorithms Expert Systems, and Numerical Optimization ” . In Handbook of Genetic Algorithms , New York : Van Nostrand Reinhold .
- Refenes , A. N. , Francis , G. and Zapranis , A. D. Stock Performance Modelling using Neural Networks: A Comparative Study with Regression Models University College London Technical Report
- Rosenblatt , F. 1962 . Principles of Neurodynamics , New York : Spartan Books .
- Rumelhart , D. E. , Hinton , G. E. and Williams , R. J. 1986 . “ Learning Internal Representations by Error Propagation ” . In Parallel Distributed Processing: Explorations in the Microstructure of Cognition. I: Foundations , Edited by: Rumelhart , D. E. and McClelland , J. L. 318 – 362 . Cambridge MA : MIT Press/Bradford Books .
- Schoneburg , E. Neurocomputing
- Schwartz , T. 1990 . Fuzzy Systems Come to Life in Japan . IEEE Expert ,
- Stender , J. “ Standort 2000: Locational Modelling of the Brandenburg Area using Genetic Algorithms ” . In Genetic Algorithms in Optimisation, Simulation and Modelling , Edited by: Stender , J. , Hillebrand , E. and Kingdon , J. 219 – 259 . IOS Press .
- Wasserman , P. D. 1990 . Neural Computing: Theory and Practice , New York : Van Nostrand Reinhold .
- White , H. Economic Prediction using neural nets: The case of the IBM daily stock returns University of California
- Weigand , A. , Huberman , B. and Rumelhart , D. 1990 . “ Predicting the Future: A Connectionist Approach ” . In Stanford PDP Research Group Technical Report, PDP-90–01
- Yuize , H. , Yagyu , T. , Yoneda , T. , Katoh , Y. , Tano , S. and Fukami , S. 1991 . Decision Support System from Foreign Exchange Trading . International Fuzzy Engineering Symposium , : 971 – 982 .
- Zadeh , L. 1965 . Fuzzy Sets . Information and Control , 8 : 338 – 353 .
- Zadeh , L. 1984 . Making Computers Think Like People . IEEE Spectrum , : 26 – 32 .