Random perturbations to hebbian synapses of associative memory using a genetic algorithm

Akira Imada, Keijiro Araki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

We apply evolutionary algorithms to Hopfield model of associative 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 over-loaded Hebbian synaptic weights to function as an associative memory. The goal of this study is to shed new light on the analysis of the Hopfield model, which also enables us to use the model as more challenging test suite for evolutionary computations.

本文言語英語
ホスト出版物のタイトルBiological and Artificial Computation
ホスト出版物のサブタイトルFrom Neuroscience to Technology - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997, Proceedings
出版社Springer Verlag
ページ398-407
ページ数10
ISBN(印刷版)3540630473, 9783540630470
DOI
出版ステータス出版済み - 1997
イベント4th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997 - Lanzarote, Canary Islands, スペイン
継続期間: 6 4 19976 6 1997

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1240 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他4th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997
国/地域スペイン
CityLanzarote, Canary Islands
Period6/4/976/6/97

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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