A proposal of «neuron mask» in neural network algorithm for combinatorial optimization problems

Y. Takenaka, N. Funabiki, S. Nishikawa

研究成果

2 被引用数 (Scopus)

抄録

A constraint resolution scheme of the Hopfield neural network named «neuron mask» is presented for a class of combinatorial optimization problems. Neuron mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of neuron mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where neuron mask improves the performance of the neural network.

本文言語English
ホスト出版物のタイトル1997 IEEE International Conference on Neural Networks, ICNN 1997
ページ1289-1294
ページ数6
DOI
出版ステータスPublished - 1997
外部発表はい
イベント1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX
継続期間: 6月 9 19976月 12 1997

出版物シリーズ

名前IEEE International Conference on Neural Networks - Conference Proceedings
2
ISSN(印刷版)1098-7576

Conference

Conference1997 IEEE International Conference on Neural Networks, ICNN 1997
国/地域United States
CityHouston, TX
Period6/9/976/12/97

ASJC Scopus subject areas

  • ソフトウェア

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