English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88645/118187 (75%)
Visitors : 23496690      Online Users : 283
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 > 理學院 > 心理學系 > 專書/專書篇章 >  Item 140.119/122241
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/122241


    Title: Fuzzy Genetic Modeling and Forecasting for Nonlinear Time Series
    Authors: 吳柏林
    Wu, Berlin
    Contributors: 應用數學系
    Date: 2001
    Issue Date: 2019-01-31 14:14:58 (UTC+8)
    Abstract: This paper presents a new approach to genetic—based modeling for nonlinear time series analysis. The research is based on the concepts of evolution theory as well as natural selection, and hence is called “genetic modeling”. In order to find a predictive model from the nonlinear time series, we make use of ‘survival of the fittest’ principle of evolution. Through the process of genetic evolution, the AIC criteria are used as the performance measure, and the membership functions of the best-fitting models are the performance index of a chromosome. An empirical example shows that the genetic model can effectively find an intuitive model for nonlinear time series, especially when structure changes occur.
    Relation: Data Mining and Computational Intelligence pp 337-356 Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 68)
    Data Type: book/chapter
    DOI 連結: https://doi.org/10.1007/978-3-7908-1825-3_13
    DOI: 10.1007/978-3-7908-1825-3_13
    Appears in Collections:[心理學系] 專書/專書篇章

    Files in This Item:

    File Description SizeFormat
    1825-3_13.pdf1723KbAdobe PDF70View/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