Evolution of Associative Memory using Diploid Chromosomes

Abstract

We apply genetic algorithms to the Hop eld's neural network model of associative memory. Previously, we reported that random synaptic weights of the network evolved to create the xed point attractors exactly at the locations of given patterns. Furthermore, we reported that the genetic algorithm can evolve the Hebbian synaptic weights to enlarge the storage… (More)

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Cite this paper

@inproceedings{Imada1997EvolutionOA, title={Evolution of Associative Memory using Diploid Chromosomes}, author={Akira Imada and Keijiro Araki}, year={1997} }