• DocumentCode
    2676991
  • Title

    Stability analysis of stochastic recurrent neural networks with time-varying delays

  • Author

    Ding, Nan ; Wang, Linshan

  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    308
  • Lastpage
    311
  • Abstract
    In this paper, almost sure exponential stability of stochastic recurrent neural networks with time-varying delays was discussed. Without the differentiability of the delay functions, a new result to ensure the almost sure exponential stability of the system was obtained by using variation parameter approach and stochastic analysis.
  • Keywords
    asymptotic stability; delays; recurrent neural nets; stochastic processes; delay functions differentiability; exponential stability; stability analysis; stochastic analysis; stochastic recurrent neural networks; time-varying delays; variation parameter approach; Control theory; Delay; Recurrent neural networks; Stability analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-2144-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2012.6391486
  • Filename
    6391486
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2676991