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IEICE TRANSACTIONS on Fundamentals

Iterative Middle Mapping Learning Algorithm for Cellular Neural Networks

Chen HE, Akio USHIDA

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Summary :

In this paper, a middle-mapping learning algorithm for cellular associative memories is presented. This algorithm makes full use of the properties of the cellular neural network so that the associative memory has some advantages compared with the memory designed by the ourter product method. It can guarantee each prototype is stored at an equilibrium point. In the practical implementation, it is easy to build up the circuit because the weight matrix presenting the connection between cells is not symmetric. The synchronous updating rule makes its associative speed very fast compared to the Hopfield associative memory.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E77-A No.4 pp.706-715
Publication Date
1994/04/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Neural Networks

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