Equivalence between some dynamical systems for optimization

Kiichi Urahama

研究成果: Contribution to journalArticle査読

2 被引用数 (Scopus)

抄録

It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.

本文言語英語
ページ(範囲)14-17
ページ数4
ジャーナルNeural Processing Letters
1
2
DOI
出版ステータス出版済み - 6 1 1994
外部発表はい

All Science Journal Classification (ASJC) codes

  • Software
  • Neuroscience(all)
  • Computer Networks and Communications
  • Artificial Intelligence

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