Analysis of the performance of ensemble of perceptrons

Pitoyo Hartono*, Shuji Hashimoto


    研究成果: Conference contribution


    In this study we analyze the performance of an ensemble model composed of several Perceptrons that can effectively deal with nonlinear classification problems. Although each member of the ensemble can only deal with linear classification problems, through a competitive training mechanism, the ensemble is able to automatically allocate a part of the learning space that is linearly separable to each member, thus decomposing non-linear classification problems into several more manageable linear problems. In this paper, we gave the performance analysis of the ensemble with regard to some benchmark problems.

    ホスト出版物のタイトルIEEE International Conference on Neural Networks - Conference Proceedings
    出版ステータスPublished - 2006
    イベントInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC
    継続期間: 2006 7月 162006 7月 21


    OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
    CityVancouver, BC

    ASJC Scopus subject areas

    • ソフトウェア


    「Analysis of the performance of ensemble of perceptrons」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。