Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series

Author:

Aizenberg Naum N.,Aizenberg Igor N.,Krivosheev Georgy A.

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. N.N. Aizenberg Multiple-Valued Threshold Logic. Kiev: Naukova Dumka Publisher House (1977) (in Russian).

2. N.N.Aizenberg, I.N.Aizenberg: CNN Based on Multi-Valued Neuron as a Model of Associative Memory for Gray-Scale Images, Proc. of the 2-d International IEEE Workshop on Cellular Neural Networks and their Applications. Munich, Germany, October 14–16 (1992) IEEE 92TH0498-6, ISBN 0-7803-875-1, pp. 36–41.

3. N.N. Aizenberg, I.N. Aizenberg “Fast Convergenced Learning Algorithms for Multi-Level and Universal Binary Neurons and Solving of the some Image Processing Problems”, Lecture Notes in Computer Science, Ed.-J. Mira, J. Cabestany, A. Prieto, v.686, Shpringer-Verlag, Berlin-Heidelberg (1993) pp. 230–236.

4. N.N. Aizenberg, I.N. Aizenberg “Neural Networks based on Universal and Multi-Valued Neurons and their application to solving of the some problems of Image Processing and Pattern recognition”, Proc. of the “COST 229” Int. Workshop on Adaptive Systems, Intelligent Approaches, Massively Parallel Computing and Emergent Techniques in Signal Processing and Communications”, Bayona (Vigo), (1994) Publication of the University of Vigo and Politec. de Madrid, pp. 223–228.

5. T.Kohonen “Content-Addressable Memories” Springer-Verlag, Berlin-Heidelberg-New-York, 980.

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