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

2003131 citationsJournal Article

Authors

Naum N. Aizenberg · Uzhhorod National University

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

Topics & Keywords

Neural Networks Stability and Synchronization Neural Networks and Applications Advanced Image Fusion Techniques

UN Sustainable Development Goals

Quality Education

Publication Details

DOI: 10.1109/cnna.1992.274330

Field-Weighted Citation Impact: 3.07