• DocumentCode
    2202615
  • Title

    Stability Analysis of Discrete Hopfield Neural Network

  • Author

    Zheng, Xiaochang

  • Author_Institution
    Comput. Centre, Zhangzhou Normal Univ., Zhangzhou
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    961
  • Lastpage
    965
  • Abstract
    The stability of neural networks is the foundation of the neural networks in various applications. But most interconnection matrixes are symmetric or antisymmetric. The dynamic behavior of asymmetric discrete Hopfield neural network (DHNN) is mainly studied in partial simultaneous updating mode and parallel mode, and using the Lyapunov method, some new simple stability conditions of DHNN are presented.The results established here improve and extend the corresponding results given in the earlier references.
  • Keywords
    Hopfield neural nets; Lyapunov methods; matrix algebra; stability; Lyapunov method; discrete Hopfield neural network; interconnection matrix; parallel mode; partial simultaneous updating mode; stability analysis; Application software; Artificial neural networks; Computer networks; Electronic mail; Hopfield neural networks; Lyapunov method; Neural networks; Neurons; Stability analysis; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3489-3
  • Type

    conf

  • DOI
    10.1109/ICACTE.2008.105
  • Filename
    4737100
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2202615