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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46251

    Title: A heuristic error-feedback learning algorithm for fuzzy modeling
    Authors: Lo, Ji-chang;Yang, Chien-hsing
    Contributors: 淡江大學電機工程學系
    Date: 1999-11
    Issue Date: 2010-03-26 21:42:01 (UTC+8)
    Publisher: Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: Describes a type of fuzzy system with interpolating capability to extract MISO fuzzy rules from input-output sample data through learning. The proposed model inherits many merits from Sugeno-type models and their variations. A heuristic error-feedback learning algorithm associated with the model is suggested. Based on which, the estimator is shown to have a self-adjusting step when approaching a minimum
    Relation: IEEE transactions on systems, man and cybernetics, Part A 29(6), pp.686-691
    DOI: 10.1109/3468.798075
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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