• DocumentCode
    510065
  • Title

    Exponential Stability of Cohen-Grossberg Neural Networks with Delays and Impulses

  • Author

    Tang, Qing ; Liu, Anping ; Li, Huijuan ; Zou, Min

  • Author_Institution
    Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    535
  • Lastpage
    538
  • Abstract
    As an important tool to study practical problems of biology, engineering and image processing, the neural networks has caused more and more attention. Some interesting results on the stability have been obtained. In this paper, the exponential stability of the equilibrium point of a group of Cohen-Grossberg neural networks is obtained by using Lyapunov method and Razumikhin technique.
  • Keywords
    Lyapunov methods; asymptotic stability; delays; neural nets; Cohen-Grossberg neural networks; Lyapunov method; Razumikhin technique; delays; exponential stability; impulses; Artificial intelligence; Artificial neural networks; Cellular neural networks; Computational intelligence; Delay effects; Differential equations; Geology; Hopfield neural networks; Neural networks; Stability; Cohen-Grossberg neural networks; Exponential stability; Lyapunov method; delays; impulses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.379
  • Filename
    5375908
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=510065