Multi-winners self-organizing neural network

Jiongtao Huang, Masafumi Hagiwara

研究成果: Conference article査読

19 被引用数 (Scopus)


We propose a new 2-layer self-organizing neural network which can store information distributedly. The proposed network has two phases for the information processing: the storage phase and the recall phase. In the storage phase, the proposed network represents information distributedly by plural excited neurons using the proposed multi-winners competitive dynamics. And then, the weights between two layers are learned using error correction learning. In the recall phase, the trained proposed network can recall the stored pattern which is the closest to a presented pattern. We carried out computer simulations to confirm the validity of the proposed network.

ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
出版ステータスPublished - 1997 12月 1
イベントProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
継続期間: 1997 10月 121997 10月 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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