Inverse Function Delayed Model for Optimization Problems

Yoshihiro Hayakawa, Tatsuaki Denda, Koji Nakajima

研究成果: Article査読

6 被引用数 (Scopus)

抄録

The ID model is a novel model derived from a macroscopic model that is attached to conventional network action, and the important character is what we can introduce negative resistance effect into. In this paper, we aim at the unstabilization of local minimum states, which is a big problem to solving optimization problems in a neural network, by the action of this negative resistance effect, and we show the good performance by numerical experiments.

本文言語English
ページ(範囲)981-987
ページ数7
ジャーナルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3213
出版ステータスPublished - 2004 12 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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