English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88866/118573 (75%)
Visitors : 23566833      Online Users : 267
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/64245
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/64245


    Title: Continuous genetic algorithm-based fuzzy neural network for learning fuzzy IF-THEN rules
    Authors: Kuo,R.J.;Hong, S.M.;Lin,Y.;Huang, Y.C.
    郭人介;洪叔民;黃永成
    Contributors: 企管系
    Keywords: Fuzzy neural networks;Continuous genetic algorithms
    Date: 2008-08
    Issue Date: 2014-02-26 15:38:49 (UTC+8)
    Abstract: This study proposes a fuzzy neural network (FNN) that can process both fuzzy inputs and outputs. The continuous genetic algorithm (CGA) is employed to enhance its performance. Both the simulation and real-world problem results show that the proposed CGA-based FNN can obtain the relationship between fuzzy inputs and outputs. CGA can not only shorten the training time but also increase the accuracy for the FNN.
    Relation: Neurocomputing, 71(13-15), 2893-2907
    Source URI: http://dx.doi.org/10.1016/j.neucom.2007.07.013
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.neucom.2007.07.013
    DOI: 10.1016/j.neucom.2007.07.013
    Appears in Collections:[企業管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    28932907.pdf388KbAdobe PDF904View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback