• DocumentCode
    381189
  • Title

    New condition for global exponential stability of neural networks

  • Author

    Sun, Changyin ; Zhang, Kanjian ; Fei, Shumin ; Feng, Chun-Bo

  • Author_Institution
    Res. Inst. of Autom., Southeast Univ., Nanjing, China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1958
  • Abstract
    In this paper, based on globally Lipschitz continuous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of neural networks are obtained.
  • Keywords
    asymptotic stability; neural nets; equilibrium point; global exponential stability; globally Lipschitz continuous activation functions; neural networks; Associative memory; Automation; Design optimization; Differential equations; Electronic mail; Erbium; Linear programming; Neural networks; Stability analysis; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1021426
  • Filename
    1021426
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=381189