English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 22922566      Online Users : 108
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/987654321/27963

    Title: Synchronization in delayed Cohen-Grossberg neural networks with bounded external inputs
    Authors: Li,CH;Yang,SY
    Contributors: 數學研究所
    Date: 2009
    Issue Date: 2010-06-29 19:39:02 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, we study the drive-response-type synchronization in the delayed Cohen-Grossberg neural networks with bounded external inputs. The connection time delays between neurons can be of discrete or distributed form. By using the Lyapunov functional method, we establish three criteria all independent of the time delays for ensuring the occurrence of synchronization with exponential rates. Generally speaking, we prove that the exponential synchronization occurs provided some certain weighted sum of the connection and coupling strengths with other system parameters is positive enough no matter that the connection time delay is of discrete or distributed form. Our criteria improve and extend some existing ones. Furthermore, several concrete examples are provided to show that the three criteria do not include one another. Numerical simulations are also given to demonstrate the theoretical results.
    Appears in Collections:[數學研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat

    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