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CNN based on multi-valued neuron as a model of associative memory for grey scale images

Published 2 January 2003
Naum N. Aizenberg, Igor Aizenberg
Citations131

TL;DR

A mathematical model of multivalued neural elements that can be used as an alternative to the basic cellular neural network (CNN) element and an efficient learning algorithm for the neural element and associative memory are presented.

Abstract

A mathematical model of multivalued neural elements that can be used as an alternative to the basic cellular neural network (CNN) element is presented. On the basis of such CNNs, a model of the associative memory for storing gray-scale images is given. An efficient learning algorithm for the neural element and associative memory is presented.>

Keywords

Computer ScienceEngineering