• DocumentCode
    519595
  • Title

    The design of network fault diagnosis system based on PNN

  • Author

    Gao, Yutong ; Zhou, Xin

  • Author_Institution
    Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    In the process of computer network fault diagnosis, the fault´s characteristic data has a complicated nonlinear relationship with the faults´ reason. It´s usually adopting BP neural network to diagnose the network fault. This article firstly studies the PNN neural network, and then researches the characteristic parameters of the computer network. At last, the method of network fault diagnosis based on PNN is put forward. Experimental result indicates that PNN can well diagnose the faults of computer network, and has a better performance than many other neural networks.
  • Keywords
    backpropagation; computer network reliability; fault diagnosis; neural nets; BP neural network; PNN neural network; backpropagation; computer network fault diagnosis; probabilistic neural network; Artificial intelligence; Artificial neural networks; Computer network management; Computer networks; Data engineering; Design engineering; Fault diagnosis; Intelligent networks; Neural networks; Transfer functions; PNN; network fault diagnosis; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497339
  • Filename
    5497339