Procedural knowledge processing based on area representation using a neural network

Seiya Fujinaga, Masafumi Hagiwara

研究成果: Conference article査読

抄録

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.

本文言語English
ページ(範囲)4519-4524
ページ数6
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
5
出版ステータスPublished - 1997 12 1
イベントProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5) - Orlando, FL, USA
継続期間: 1997 10 121997 10 15

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ハードウェアとアーキテクチャ

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