A Super Memory Retrieval with Chaos Associative Model

Abstract

We find that a chaos neural network (CNN) model with a sinusoidal activation function shows -- 10--20 times larger memory capacity than CNN with the sigmoidal activation function previously proposed by Aihara et al. Our network exhibits complete association even though a considerable noise is involved in an input vector.