• DocumentCode
    1996072
  • Title

    Further results on convergence of cooperative standard cellular neural networks

  • Author

    Marco, Mauro Di ; Forti, Mauro ; Grazzini, Massimo ; Pancioni, Luca

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    2161
  • Lastpage
    2164
  • Abstract
    The paper considers a class of nonsymmetric co operative standard cellular neural networks (SCNNs), which are defined by a cell-linking template, and are characterized by neuron activations modeled by a typical three-segment pwl function. The paper establishes conditions ensuring that the monotone solution semiflow associated to the considered class of SCNNs satisfies the Limit Set Dichotomy and is convergent toward equilibrium points. The conditions, which involve only static aspects of the equilibrium point configuration of the SCNNs, are easier to verify with respect to those in previous results in the literature. By means of a standard numerical program for locating the equilibrium points of pwl SCNNs, parameter ranges for which the conditions are verified, and the cooperative SCNNs are convergent, are established.
  • Keywords
    cellular neural nets; cell linking template; convergence; limit set dichotomy; monotone solution semiflow; nonsymmetric cooperative standard cellular neural networks; three segment pwl function; Equations; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5938027
  • Filename
    5938027