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

Yoshinori Hayakawa, Atsushi Marumoto, Yasuji Sawada

    研究成果: Article

    76 引用 (Scopus)

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    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.

    元の言語English
    ジャーナルPhysical Review E
    51
    発行部数4
    DOI
    出版物ステータスPublished - 1995 1 1

    ASJC Scopus subject areas

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

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