• DocumentCode
    3345885
  • Title

    Stability for the Solution of a Class of Time-Delay Artificial Neural Networks

  • Author

    Wang, Ruliang ; Cheng, Hui ; Wang, Jin

  • Author_Institution
    Dept. of Inf. Technol., Guangxi Teachers´´ Univ., Nanning, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    791
  • Lastpage
    794
  • Abstract
    In this paper, we consider a class of time-delay artificial neural networks and obtain practical criteria to test asymptotic stability of the equilibrium of the time-delay artificial neural networks. These criteria require verification of the definiteness of a certain matrix, or verification of a certain inequality. The applicability of our results is demonstrated by means of a specific example.
  • Keywords
    asymptotic stability; delays; matrix algebra; neural nets; asymptotic stability; matrix; time-delay artificial neural networks; Artificial neural networks; Asymptotic stability; Computer networks; Delay effects; Equations; Hopfield neural networks; Linear matrix inequalities; Neural networks; Neurons; Testing; artificial neural network; stability; time-delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.130
  • Filename
    5402828
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3345885