English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 54451/89232 (61%)
造訪人次 : 10570716      線上人數 : 27
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70422

    題名: Fuzzy rule extraction for controller designs
    作者: Wong, Ching-chang;Su, Mu-chun;Lin, Nine-shen
    貢獻者: 淡江大學電機工程學系
    日期: 1995-05-22
    上傳時間: 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
    顯示於類別:[電機工程學系暨研究所] 會議論文


    檔案 描述 大小格式瀏覽次數
    Fuzzy Rule Extraction for Controller Designs.pdf250KbAdobe PDF172檢視/開啟



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