English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60917/93528 (65%)
Visitors : 1559531      Online Users : 6
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/68561

    Title: Neuro-fuzzy and genetic algorithm in multiple response optimization
    Authors: 鄭啟斌;Cheng, Chi-bin;Cheng, C. J.;Lee, E. S.
    Contributors: 淡江大學資訊管理學系
    Keywords: Multiple response;Neuro-fuzzy system;Genetic algorithm;Multiple objective decision making
    Date: 2002-12
    Issue Date: 2011-10-23 13:16:35 (UTC+8)
    Publisher: Elsevier
    Abstract: Optimization of a multiple output system, whose function is only approximately known and is represented in tabular form, is modeled and optimized by the combined use of a neuro-fuzzy network and optimization techniques which do not require the explicit representation of the function. Neuro-fuzzy network is useful for learning the approximate original tabular system. However, the results obtained by the neuro-fuzzy network are represented implicitly in the network. The MANFIS neuro-fuzzy network, which is an extension of the ANFIS network, is used to model the multiple output system and a genetic algorithm is used to optimize the resulting multiple objective decision making problem. A chemical process whose function is represented approximately in tabular form is solved to illustrate the approach.
    Relation: Computers and Mathematics with Applications 44(12), pp.1503-1514
    DOI: 10.1016/S0898-1221(02)00274-2
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

    Files in This Item:

    File Description SizeFormat
    Neuro-fuzzy and genetic algorithm in multiple response optimization.pdf825KbAdobe PDF1View/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