Fully-connected neural network model of associative memory as a test function of evolutionary computations

Akira Imada, Keijiro Araki

研究成果: Contribution to journalArticle査読

抄録

We apply some variants of evolutionary computations to the fully-connected neural network model of associative memory. Among others when we regard it as a parameter optimization problem we notice that the model has some favorable properties as a test function of evolutionary computations. So far many functions have been proposed for comparative study. However as Whitley and his colleagues suggested many of the existing common test functions have some problems in comparing and evaluating evolutionary computations. In this paper we focus on the possibilities of using the fully-connected neural network model as a test function of evolutionary computations.

本文言語英語
ページ(範囲)318-325
ページ数8
ジャーナルIEICE Transactions on Information and Systems
E82-D
1
出版ステータス出版済み - 1999

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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