Neural network ensemble with temperature control

Pitoyo Hartono, Shuji Hashimoto

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.

    本文言語English
    ホスト出版物のタイトルProceedings of the International Joint Conference on Neural Networks
    Place of PublicationUnited States
    出版社IEEE
    ページ4073-4078
    ページ数6
    6
    出版ステータスPublished - 1999
    イベントInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
    継続期間: 1999 7 101999 7 16

    Other

    OtherInternational Joint Conference on Neural Networks (IJCNN'99)
    CityWashington, DC, USA
    Period99/7/1099/7/16

    ASJC Scopus subject areas

    • ソフトウェア

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