• DocumentCode
    1168827
  • Title

    Number of stable equilibrium states of cellular neural networks

  • Author

    Kaluzny, Pawel

  • Author_Institution
    Inst. de Physiol., Fribourg Univ., Switzerland
  • Volume
    41
  • Issue
    9
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    608
  • Lastpage
    610
  • Abstract
    In this report we present an explicit formula for the number of stable equilibrium states of one dimensional cellular neural networks. It is based on the equivalence of stable equilibrium states and paths in a graph representing neighborhood consistency conditions
  • Keywords
    graph theory; neural nets; stability; cellular neural networks; equivalence; graph paths; neighborhood consistency conditions; one dimensional neural networks; stable equilibrium states; Boundary conditions; Cellular neural networks; Computer networks; Equations; Feature extraction; Filtering; Multidimensional systems; Shape; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.317960
  • Filename
    317960
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1168827