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An improvement of the design method of cellular neural networks based on generalized eigenvalue minimization

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3 Author(s)
Bise, R. ; Dai Nippon Printing Co. Ltd, Tokyo, Japan ; Takahashi, N. ; Nishi, T.

Realization of associative memories by cellular neural networks (CNNs) with binary output is studied. Concerning this problem, a CNN design method based upon generalized eigenvalue minimization (GEVM) has recently been proposed. In this brief, a new CNN design method which is based on the GEVM-based method will be presented. We first give some analytical results related to the basin of attraction of a memory vector. We then derive the design method by combining these analytical results and the GEVM-based method. We finally show through computer simulations that the proposed method can achieve higher recall probability than the original GEVM-based method.

Published in:

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:50 ,  Issue: 12 )

Date of Publication:

Dec. 2003

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