Associative memory for intelligent control

Motonobu Hattori, Masafumi Hagiwara

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)349-374
Number of pages26
JournalMathematics and Computers in Simulation
Issue number3-4
Publication statusPublished - 2000 Jan


  • Intelligent controls
  • Multimodule associative memory for many-to-many associations
  • Neural network

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Numerical Analysis
  • Modelling and Simulation
  • Applied Mathematics


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