Multi-winners self-organizing neural network

Jiongtao Huang, Masafumi Hagiwara

Research output: Contribution to journalConference article

21 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2499-2504
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
Duration: 1997 Oct 121997 Oct 15

    Fingerprint

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Cite this