Design of parallel distributed Cauchy machines

Yoshiyasu Takefuji, Harold Szu

Research output: Contribution to conferencePaperpeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Number of pages4
Publication statusPublished - 1989 Dec 1
Externally publishedYes
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: 1989 Jun 181989 Jun 22


OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA

ASJC Scopus subject areas

  • General Engineering


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