Keijiro Araki

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We apply evolutionary algorithms to Hopeld model of as-sociative memory. Previously we reported that a genetic algorithm using ternary chromosomes evolves the Hebb-rule associative memory to enhance its storage capacity by pruning some connections. This paper describes a genetic algorithm using real-encoded chromosomes which successfully evolves overloaded(More)
| There have been a lot of researches which apply evolutionary techniques to layered neural networks. However, their applications to Hopeld neu-ral networks remain few so far. We have been applying Genetic Algorithms to fully connected associa-tive memory model of Hopeld, and reported elsewhere that the network can store some number of patterns only by(More)
We apply evolutionary computations to Hopeld model of associative memory. Although there have been a lot of researches which apply evolutionary techniques to layered neural networks, their applications to Hopeld neural networks remain few so far. Previously we reported that a genetic algorithm using discrete encoding chromosomes evolves the Hebb-rule(More)