• DocumentCode
    1798266
  • Title

    On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay

  • Author

    Brahmi, Hajer ; Ammar, Boudour ; Cherif, Farouk ; Alimi, Adel M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2063
  • Lastpage
    2070
  • Abstract
    This paper discuss the oscillations of high-Order type recurrent delayed neural networks. Various creteria are used to prove the existence and uniqueness of pseudo almost periodic solution in a suitable convex domain. Our method is based on constructing suitable Lyapunov functionals and the well-known Banach contraction mapping principle. Banach fixed point, pseudo almost-periodic functions, high order recurrent neural network.
  • Keywords
    Banach spaces; Lyapunov methods; delays; recurrent neural nets; set theory; Banach contraction mapping principle; Banach fixed point; Lyapunov functionals; convex domain; high-order recurrent delayed neural network type; mixed delay; pseudo almost-periodic functions; time varying coefficients; Biological neural networks; Convergence; Delays; Educational institutions; Recurrent neural networks; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889868
  • Filename
    6889868