Ensemble as a piecewise linear classifier

Pitoyo Hartono, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
    DOIs
    Publication statusPublished - 2006
    Event6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006 - Auckland
    Duration: 2006 Dec 132006 Dec 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)

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  • Cite this

    Hartono, P., & Hashimoto, S. (2006). Ensemble as a piecewise linear classifier. In Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006 [4041412] https://doi.org/10.1109/HIS.2006.264915