• DocumentCode
    2551155
  • Title

    Exponential Stability of Delayed Neural Networks with Impulses

  • Author

    Yang, Jin-xiang ; Zhong, Shou-ming ; Song, Jian-cheng

  • Author_Institution
    Coll. of Comput. Sci. & Technol, Southwest Univ. for Nat., Chengdu
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    244
  • Lastpage
    246
  • Abstract
    This paper investigates the stability of a class of delayed neural networks with impulses. By means of Lyapunov direct method, the new sufficient conditions for exponential stability of the systems are derived.
  • Keywords
    Lyapunov methods; asymptotic stability; neural nets; Lyapunov direct method; delayed neural networks; exponential stability; Artificial neural networks; Computer science; Delay effects; Differential equations; Educational institutions; Hopfield neural networks; Neural networks; Recurrent neural networks; Stability criteria; Sufficient conditions; Exponential stability; impulsive; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3427-5
  • Electronic_ISBN
    978-1-4244-3426-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2008.4770015
  • Filename
    4770015
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2551155