Ensemble of linear perceptrons with confidence level output

Pitoyo Hartono, Shuji Hashimoto

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

    7 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
    EditorsM. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
    Pages186-191
    Number of pages6
    Publication statusPublished - 2005
    EventProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu
    Duration: 2004 Dec 52004 Dec 8

    Other

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

    Keywords

    • Competitive learning
    • Confidence level
    • Linear perceptron
    • Neural network ensemble
    • Problem subspace

    ASJC Scopus subject areas

    • Engineering(all)

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  • Cite this

    Hartono, P., & Hashimoto, S. (2005). Ensemble of linear perceptrons with confidence level output. In M. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D. M. Corne, & A. Abraham (Eds.), Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems (pp. 186-191)