• DocumentCode
    855057
  • Title

    Stability analysis of bidirectional associative memory networks with time delays

  • Author

    Feng, Chunhua ; Plamondon, Réjean

  • Author_Institution
    Lab. Scribens, Ecole Polytechnique de Montreal, Canada
  • Volume
    14
  • Issue
    6
  • fYear
    2003
  • Firstpage
    1560
  • Lastpage
    1565
  • Abstract
    By using the method of Liapunov functional, a model for bidirectional associative memory networks with time delays is studied. The asymptotic stability is global in the state space of the neuronal activations and is also independent of the delays. Our results can be applied to a variety of situations that arise both in the field of biological and artificial neural networks.
  • Keywords
    Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; Lyapunov function; artificial neural network; bidirectional associative memory networks; biological neural network; stability analysis; time delays; Artificial neural networks; Associative memory; Asymptotic stability; Biological system modeling; Circuits; Convergence; Delay effects; Magnesium compounds; Stability analysis; State-space methods;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2003.820829
  • Filename
    1257418
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=855057