English  |  正體中文  |  简体中文  |  Items with full text/Total items : 65421/65421 (100%)
Visitors : 22290904      Online Users : 192
RC Version 7.0 © 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


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51595


    Title: Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers
    Authors: Hsu,CY;Hsu,YC;Lin,SF
    Contributors: 網路學習科技研究所
    Keywords: SYMBIOTIC EVOLUTION;GENETIC ALGORITHMS;DESIGN;SYSTEMS;NETWORK;HYBRID;GA
    Date: 2011
    Issue Date: 2012-03-27 18:57:00 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Reinforcement evolutionary learning using data mining algorithm (R-ELDMA) with a TSK-type fuzzy controller (TFC) for solving reinforcement control problems is proposed in this study. R-ELDMA aims to determine suitable rules in a TFC and identify suitable and unsuitable groups for chromosome selection. To this end, the proposed R-ELDMA entails both structure and parameter learning. In structure learning, the proposed R-ELDMA adopts our previous research - the self-adaptive method (SAM) - to determine the suitability of TFC models with different fuzzy rules. In parameter learning, the data-mining based selection strategy (DSS), which proposes association rules, is used. More specifically, DSS not only determines suitable groups for chromosomes selection but also identifies unsuitable groups to be avoided selecting chromosomes to construct a TFC. Illustrative examples are presented to show the performance and applicability of the proposed R-ELDMA. Crown Copyright (C) 2010 Published by Elsevier B. V. All rights reserved.
    Relation: APPLIED SOFT COMPUTING
    Appears in Collections:[網路學習科技研究所 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML438View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明