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査読

    78 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ジャーナルPhysical Review E
    51
    4
    DOI
    出版ステータスPublished - 1995 1 1

    ASJC Scopus subject areas

    • 統計物理学および非線形物理学
    • 数理物理学
    • 凝縮系物理学
    • 物理学および天文学(全般)

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