• DocumentCode
    2305413
  • Title

    Memory Patterns Analysis for Discrete-Time Neural Networks with Periodic Coefficients and Time-Varying Transmission Delays

  • Author

    Huang, Zhenkun ; Bin, Honghua

  • Author_Institution
    Sch. of Sci., Jimei Univ., Xiamen, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    478
  • Lastpage
    482
  • Abstract
    Some new criteria are obtained in this paper to guarantee that the N-dimensional discrete-time neural networks can have 2N periodic memory patterns. Moreover, we provide the estimation of exponentially attractive basins for these memory patterns. These conditions improve and extend the existing results in the literature. Finally, numerical simulations are performed to illustrate our results.
  • Keywords
    delays; discrete time systems; neural nets; discrete-time neural networks; memory patterns analysis; periodic coefficients; periodic memory patterns; time-varying transmission delays; Associative memory; Delay; Information processing; Neural networks; Numerical simulation; Orbits; Pattern analysis; Pattern classification; Software engineering; Discrete-time; Memory patterns; Neural networks; Periodic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.76
  • Filename
    5319601
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2305413