• DocumentCode
    341402
  • Title

    Stability analysis of the class of delayed neural networks

  • Author

    Arik, Sabri ; Tavsanoglu, Vedat

  • Author_Institution
    Dept. of Electron., Istanbul Univ., Turkey
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    575
  • Abstract
    In this paper, we derive several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of a delayed neural network independently of the delay parameter. The results obtained impose constraint conditions on the interconnection matrix of the neural system
  • Keywords
    asymptotic stability; delays; neural nets; asymptotic stability; constraint conditions; delay parameter; delayed neural networks; equilibrium point; interconnection matrix; stability analysis; Asymptotic stability; Equations; Erbium; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.777637
  • Filename
    777637
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=341402