Design of parallel distributed Cauchy machines

Yoshiyasu Takefuji, Harold Szu

研究成果: Paper査読

28 被引用数 (Scopus)

抄録

A parallel and stochastic version of Hopfield-like neural networks is presented. Cauchy color noise is assumed. The specific noise is desirable for fast convergence to a fixed point representing a neighborhood minimum. It can be quickly quenched at each iteration according to a proven cooling schedule in generating random states on the energy landscape. An exact Cauchy acceptance criterion is analytically derived for hill-climbing capability. The improvement is twofold: a faster cooling schedule (the inversely linear cooling schedule characterized by the Cauchy simulated annealing) and parallel executions of all neurons. Such a Cauchy machine can be electronically implemented, and the design is given.

本文言語English
ページ529-532
ページ数4
出版ステータスPublished - 1989 12 1
外部発表はい
イベントIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
継続期間: 1989 6 181989 6 22

Other

OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA
Period89/6/1889/6/22

ASJC Scopus subject areas

  • 工学(全般)

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