Ensemble as a piecewise linear classifier

Pitoyo Hartono, Shuji Hashimoto

    研究成果: Conference contribution

    抄録

    In this paper we analyze the performance of a neural network ensemble in performing piecewise linear classification by automatically decomposing a non-linear problem into several linear sub-problems. The strength and weakness of this neural network ensemble with respect to MLP and Perceptron, and the diversity in the ensemble's modules, created as the result of the competitive learning process, are the main focus of this paper.

    本文言語English
    ホスト出版物のタイトルProceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
    DOI
    出版ステータスPublished - 2006
    イベント6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006 - Auckland
    継続期間: 2006 12 132006 12 15

    Other

    Other6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
    CityAuckland
    Period06/12/1306/12/15

    ASJC Scopus subject areas

    • Computer Science(all)

    フィンガープリント 「Ensemble as a piecewise linear classifier」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル