Associative memory for intelligent control

Motonobu Hattori, Masafumi Hagiwara

研究成果: Article査読

15 被引用数 (Scopus)

抄録

In many industrial applications of softcomputing, intelligent controls are important to accomplish high level tasks. Intelligent controls, however, need specific knowledge for each task. Therefore developing good memory is crucial to store the required knowledge efficiently and robustly. Neural network associative memories are the most suitable for the role because of their flexibility and content addressability. In this paper, first, we describe the basic concept of the neural network associative memories and the conventional learning algorithms. After pointing out some problems of the associative memories, we explain a novel learning algorithm, which is superior to the conventional ones. Finally, we introduce an associative memory suited for the intelligent controls and show the effectiveness by a number of computer simulations.

本文言語English
ページ(範囲)349-374
ページ数26
ジャーナルMathematics and Computers in Simulation
51
3-4
DOI
出版ステータスPublished - 2000 1

ASJC Scopus subject areas

  • 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)
  • 数値解析
  • モデリングとシミュレーション
  • 応用数学

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