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CNN-like networks based on multi-valued and universal binary neurons: learning and application to image processing

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2 Author(s)
Aizenberg, N.N. ; Dept. of Cybern., Uzhgorod Univ., Ukraine ; Aizenberg, I.N.

We consider fast convergence learning algorithms for multi-valued and universal binary neurons. These neurons are suggested to be used for design of neural networks based on CNN paradigm. On the basis of such networks we offer to solve some problems of image processing. For instance, high efficient method for contours detection obtained by learning algorithm described in the paper is presented. Also solution of the XOR-problem on the single neuron is described

Published in:

Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on

Date of Conference:

18-21 Dec 1994