• DocumentCode
    1569799
  • Title

    Global robust stability of bidirectional associative memory neural networks

  • Author

    Senan, Sibel ; Arik, Sabri ; Tavsanoglu, Vedat

  • Author_Institution
    Dept. of Comput. Eng., Istanbul Univ., Istanbul
  • fYear
    2007
  • Firstpage
    803
  • Lastpage
    806
  • Abstract
    This paper presents a sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with discrete time delays. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.
  • Keywords
    asymptotic stability; delays; discrete time systems; neural nets; bidirectional associative memory neural networks; discrete time delays; global robust asymptotic stability; Associative memory; Asymptotic stability; Computer networks; Delay effects; Hydrogen; Magnesium compounds; Neural networks; Neurons; Robust stability; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on
  • Conference_Location
    Seville
  • Print_ISBN
    978-1-4244-1341-6
  • Electronic_ISBN
    978-1-4244-1342-3
  • Type

    conf

  • DOI
    10.1109/ECCTD.2007.4529718
  • Filename
    4529718
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1569799