• DocumentCode
    478225
  • Title

    Periodic Solution of Stochastic Recurrent Neural Networks with Delays

  • Author

    Wan, Li ; Zhou, Qinghua

  • Author_Institution
    Dept. of Math. & Phys., Wuhan Univ. of Sci. & Eng., Wuhan
  • Volume
    3
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    505
  • Lastpage
    509
  • Abstract
    The periodic solution for stochastic recurrent neural networks (RNNs) with delays is studied. By constructing suitable Lyapunov functionals and employing nonnegative semimartingale convergence theorem, the delay-independent sufficient conditions to guarantee the existence and uniqueness of periodic solution are obtained.
  • Keywords
    Lyapunov methods; convergence; delays; recurrent neural nets; Lyapunov functionals; delays; nonnegative semimartingale convergence theorem; periodic solution; stochastic recurrent neural networks; Biological neural networks; Cellular neural networks; Computer networks; Delay effects; Mathematics; Neurons; Neurotransmitters; Recurrent neural networks; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.65
  • Filename
    4667190
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=478225