淡江大學機構典藏:Item 987654321/46250
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62797/95867 (66%)
造访人次 : 3740122      在线人数 : 546
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46250


    题名: A GA-based method for constructing fuzzy systems directly from numerical data
    作者: 翁慶昌;Wong, Ching-chang;Chen, Chia-chong
    贡献者: 淡江大學電機工程學系
    日期: 2000-12
    上传时间: 2010-03-26 21:37:29 (UTC+8)
    出版者: Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: A method based on the concepts of genetic algorithm (GA) and recursive least-squares method is proposed to construct a fuzzy system directly from some gathered input-output data of the discussed problem. The proposed method can find an appropriate fuzzy system with a low number of rules to approach an identified system under the condition that the constructed fuzzy system must satisfy a predetermined acceptable performance. In this method, each individual in the population is constructed to determine the number of fuzzy rules and the premise part of the fuzzy system, and the recursive least-squares method is used to determine the consequent part of the constructed fuzzy system described by this individual. Finally, three identification problems of nonlinear systems are utilized to illustrate the effectiveness of the proposed method.
    關聯: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 30(6), pp.904-911
    DOI: 10.1109/3477.891153
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    1083-4419_30(6)p904-911.pdf225KbAdobe PDF1103检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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