• DocumentCode
    3458329
  • Title

    An intelligent and integrated system of network fault management: artificial intelligence technologies and hybrid architectures

  • Author

    Jiang, Shanliang ; SIBONI, Didier ; Rhissa, Anasser Ag ; Beuchot, Gérard

  • Author_Institution
    Inst. Nat. des Telecommun., Evry, France
  • fYear
    1995
  • fDate
    3-7 Jul 1995
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    Expert systems have been successfully introduced into network management for some years. But they have showed some limits in coping with the evolution of network configurations and poor expertise which is characteristic of this domain. We propose, in this paper, an intelligent and integrated fault management system, by studying different artificial intelligence techniques such as model-based expert systems, neural networks, case-based reasoning, which could be used in special tasks in network fault management. Hybrid architectures are also studied to integrate this different techniques into a global management system
  • Keywords
    case-based reasoning; expert systems; fault diagnosis; neural nets; telecommunication computing; telecommunication network management; telecommunication network reliability; artificial intelligence technologies; case-based reasoning; global management system; hybrid architectures; intelligent integrated system; model-based expert systems; network configurations; network fault management; neural networks; Artificial intelligence; Artificial neural networks; Expert systems; Hybrid intelligent systems; Intelligent networks; Intelligent systems; Quality management; Quality of service; Technology management; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks, 1995. Theme: Electrotechnology 2000: Communications and Networks. [in conjunction with the] International Conference on Information Engineering., Proceedings of IEEE Singapore International
  • Print_ISBN
    0-7803-2579-6
  • Type

    conf

  • DOI
    10.1109/SICON.1995.526059
  • Filename
    526059