Ensemble of linear perceptrons with confidence level output

Pitoyo Hartono*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Conference contribution

    7 被引用数 (Scopus)

    抄録

    In this study we introduce an ensemble of neural networks, in which each member is a linear perceptron. Our main objective is to build an ensemble of neural networks that can automatically and effectively divide the problem space and assign a subspace to each member. By assigning only a portion of the problem space, we expect that the learning difficulty for each member can be reduced, thus leading to better classification ability. To investigate the effectiveness of the proposed method in dividing the problem space, in this paper we deal with ensemble consists only of linear perceptrons, each with an additional output neuron that indicates the confidence level of the output.

    本文言語English
    ホスト出版物のタイトルProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
    編集者M. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
    ページ186-191
    ページ数6
    出版ステータスPublished - 2005
    イベントProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu
    継続期間: 2004 12月 52004 12月 8

    Other

    OtherProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
    CityKitakyushu
    Period04/12/504/12/8

    ASJC Scopus subject areas

    • 工学(全般)

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