• DocumentCode
    1591792
  • Title

    Analysis of Fault Tolerance of Cellular Neural Networks and Applications to Image Processing

  • Author

    Wang, Lidan ; Yang, Xiaofan ; Duan, Shukai

  • Author_Institution
    Chongqing Univ., Chongqing
  • Volume
    3
  • fYear
    2007
  • Firstpage
    252
  • Lastpage
    256
  • Abstract
    This paper initiates the study of fault tolerant properties of faulty cellular neural networks (CNNs). A class of CNNs with single faulty cell is established, which is successfully applied to image processing: noise removing and image reversion. A series of computer simulations demonstrate CNNs have satisfied fault tolerant properties for image processing.
  • Keywords
    fault tolerance; image denoising; neural nets; fault tolerance analysis; faulty cellular neural networks; image processing; image reversion; noise removing; Artificial neural networks; Cellular neural networks; Circuit faults; Computer science; Computer simulation; Educational institutions; Fault tolerance; Image analysis; Image processing; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.236
  • Filename
    4344516
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1591792