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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32387


    Title: Constructing a user-friendly GA-based fuzzy system directly from numerical data
    Authors: Teng,YW;Wang,WJ
    Contributors: 電機工程研究所
    Keywords: UNIVERSAL APPROXIMATORS;TRAINING EXAMPLES;RULES;CLASSIFICATION;PERFORMANCE;GENERATION
    Date: 2004
    Issue Date: 2010-07-06 18:26:04 (UTC+8)
    Publisher: 中央大學
    Abstract: This paper proposes a novel genetic algorithms (GA)-based algorithm to construct a user-friendly fuzzy system for approximating an unknown system with a satisfactory degree of accuracy. In the algorithm, the adequate number of fuzzy rules, the adequate nu
    Relation: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    Appears in Collections:[電機工程研究所] 期刊論文

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