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An approach to the design of space-varying cellular neural networks for associative memories

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3 Author(s)
M. Brucoli ; Dipartimento di Elettrotecnica & Elettronica, Politecnico di Bari, Italy ; L. Carnimeo ; G. Grassi

In this work a design of a space-varying cellular neural network (CNN) in order to behave as an associative memory is presented. To this purpose, a new class of space-varying cellular neural networks with a nonsymmetric interconnection structure is considered. A stability analysis is firstly carried out. Then, a learning algorithm, based on the relaxation method, is used to compute the feedback parameters of the considered network. Simulation tests are reported to confirm the validity of the suggested approach

Published in:

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on  (Volume:1 )

Date of Conference:

3-5 Aug 1994