English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51771/86989 (60%)
Visitors : 8367884      Online Users : 62
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70422


    Title: Fuzzy rule extraction for controller designs
    Authors: Wong, Ching-chang;Su, Mu-chun;Lin, Nine-shen
    Contributors: 淡江大學電機工程學系
    Date: 1995-05-22
    Issue Date: 2011-10-23 21:16:58 (UTC+8)
    Publisher: Institute of electrical and electronics engineers (IEEE)
    Abstract: 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.
    Relation: Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on, pp.409-412
    DOI: 10.1109/IACET.1995.527596
    Appears in Collections:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    Fuzzy Rule Extraction for Controller Designs.pdf250KbAdobe PDF147View/Open
    index.html0KbHTML200View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback