Procedural knowledge processing based on area representation using a neural network

Seiya Fujinaga, Masafumi Hagiwara

Research output: Contribution to journalConference article

Abstract

In this paper, a neural network which can treat the procedural knowledge based on the area representation is proposed. The area representation expresses information by a group of neurons. Since it can be considered as a combination of the localized representation and the distributed representation, it has many advantages such as robustness, high efficiency for information representation, potential ability to treat similarity of data and so on. The proposed network based on the area representation is constructed to store and recall the procedural knowledge. We performed various kinds of computer simulations to examine the validity and effectiveness of the proposed network.

Original languageEnglish
Pages (from-to)4519-4524
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume5
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - Orlando, FL, USA
Duration: 1997 Oct 121997 Oct 15

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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