References
- Aleksander I. Fused logic element which learns by example. IEEE Electron. Lett. 1965; 1: 173
- Aleksander I. Emergent intelligent properties of progressively-structured pattern recognition nets. Pattern Recognition Lett. 1983; 1: 375–84
- Aleksander I, Stonham T J. Guide to pattern recognition using random access memories. Comput. and Digital Techniques 1979; 2(1)29–40
- Aleksander I, Morton H. An Introduction to Neural Computing. Chapman and Hall, London 1990
- Allinson N M, Johnson M J, Moon K J. Digital realisation of self-organising maps. Advances in Neural Information Processing Systems, D S Touretzky. Morgan Kaufmann, San Mateo, CA 1989; 728–38
- Bledsoe W W, Browning I (1959) Pattern recognition and reading by machine. Proc. Eastern Joint Computer Conference, Boston, MA, December, 1–31959, 225–32
- Bledsoe W W, Blisson C L. Improved memory matrices for the n-tuple pattern recognition method. IRE Trans. Electron. Comput. 1962; 11: 414–5
- Carpenter G A, Grossberg S. The ART of adaptive pattern recognition by a self-organising neural network. IEEE Computer 1988; 77–88, March 1988
- Kaufman L, Rousseeuw P J. Finding Groups in Data: an Introduction to Cluster Analysis. Wiley Interscience, New York 1990
- Kohonen T. Adaptive, associative and self-organising functions in neural computing. Appl. Opt. 1987; 26(23)4910–8
- Kohonen T. Self-Organisation and Associative Memory3rd edn. Springer, Berlin 1989
- Lippmann R P. Pattern classification using neural networks. IEEE Communications Magazine 1989; 27(11)47–64
- Rickman R, Stonham T J. A novel learning strategy for self-organising weightless neural networks. Proc. 1993 Weightless Neural Network Workshop, YorkUK, April, 6–7, 1993; 82–6
- Tambouratzis G. Comparison of supervised and unsupervised discriminator-based logic neural networks. IEE Electron. Lett. 1994a; 30(3)248–9
- Tambouratzis G. Optimising the clustering performance of a self-organising discriminator-based logic neural network. Pattern Recognition Lett. 1994b, in preparation
- Tambouratzis G, Stonham T J (1992) A logical neural network that adapts to changes in the pattern environment. Proc. 11th IAPR Int. Conf. Pattern Recognition, The HagueThe Netherlands, August, 1992. IEEE Press, Piscataway, NJ, vol 2: 46–9
- Tambouratzis G, Stonham T J. Data clustering in complex pattern spaces using a self-organising logic neural network. Proc. 1993 Weightless Neural Network Workshop, YorkUK, April, 6–7, 1993a; 70–5
- Tambouratzis G, Stonham T J. Evaluating the topology-preservation capabilities of a self-organising logical neural network. Pattern Recognition Lett. 1993b; 14(11)927–34
- Tambouratzis G, Stonham T J. A self-organising logic neural network for pattern completion tasks. Neural Networks: Techniques and Applications, P J. G Lisboa, M J Taylor. Ellis-Horwood, Chichester 1993c; 263–75
- Ullmann J R. Experiments with the n-tuple method of pattern recognition. IEEE Trans. Comput. 1969; 18(12)1135–7