Effects of the chaotic noise on the performance of a neural network model for optimization problems

Yoshinori Hayakawa, Atsushi Marumoto, Yasuji Sawada

    Research output: Contribution to journalArticle

    76 Citations (Scopus)

    Abstract

    We studied effects of chaos added to the dynamics of a neural network model. By numerical simulations, we found the neural network with forcing by chaotic noise operated very efficiently to solve an optimization problem. We also showed that short time correlation of chaos was relevant to the dynamics of the network and it could work effectively for global minima search.

    Original languageEnglish
    JournalPhysical Review E
    Volume51
    Issue number4
    DOIs
    Publication statusPublished - 1995 Jan 1

    ASJC Scopus subject areas

    • Statistical and Nonlinear Physics
    • Mathematical Physics
    • Condensed Matter Physics
    • Physics and Astronomy(all)

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