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    题名: Fuzzy rule extraction for controller designs
    作者: Wong, Ching-chang;Su, Mu-chun;Lin, Nine-shen
    贡献者: 淡江大學電機工程學系
    日期: 1995-05-22
    上传时间: 2011-10-23 21:16:58 (UTC+8)
    出版者: Institute of electrical and electronics engineers (IEEE)
    摘要: This paper presents an innovative method for extracting fuzzy rules directly from numerical data for controller designs. Conventional approaches to fuzzy systems assume there is no correlation among features and therefore involve dividing the input and output space into grid regions. However, in most cases, it is likely that features are highly correlated. Therefore, we propose to use an aggregation of hyperspheres with different sizes and different positions to define fuzzy rules. The genetic algorithm is used to select the parameters of the proposed fuzzy systems. The inverted pendulum system is utilized to illustrate the efficiency of the proposed method for finding fuzzy control rules.
    關聯: Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on, pp.409-412
    DOI: 10.1109/IACET.1995.527596
    显示于类别:[電機工程學系暨研究所] 會議論文

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