• DocumentCode
    3048019
  • Title

    Existence of Periodic Solution for Hopfield Cellular Neural Networks

  • Author

    Li, Yanling ; Liu, Anping ; Zhang, Linli ; Hao, Zutao

  • Author_Institution
    Coll. of Comput. Sci., Civil Aviation Flight Univ. of China, Guanghan, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    As an important tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some interesting results about the existence for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence of periodic solution for Hopfield cellular neural networks are considered. Some new results are obtained.
  • Keywords
    Hopfield neural nets; cellular neural nets; iterative methods; Hopfield cellular neural network; iterative analysis; periodic solution; Biology; Cells (biology); Cellular neural networks; Computer science; Image processing; Intelligent networks; Intelligent systems; Iterative methods; Mathematics; Physics; Existence; Hopfield Cellular Neural Networks; Periodic Solution; delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.134
  • Filename
    5209343
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3048019