• DocumentCode
    156166
  • Title

    Quantitative determination of fault tolerance for neuronetwork devices of infocommunication systems

  • Author

    Galushkin, A.I. ; Danilin, S.N. ; Panteleev, S.V.

  • Author_Institution
    Int. Center of Inf. & Electron. “InterEVM”, Moscow, Russia
  • fYear
    2014
  • fDate
    7-13 Sept. 2014
  • Firstpage
    328
  • Lastpage
    329
  • Abstract
    The option of quantitative criterion of level determination of fault tolerance of neural networks of any structure and appointment is developed. Fault tolerance of the neuronetwork device of recognition of a radio signal with QAM256 modulation is investigated. Dependence of determination result of fault tolerance level on the chosen indicator of quality of functioning of the neuronetwork device is studied.
  • Keywords
    fault tolerance; neural nets; quadrature amplitude modulation; signal processing; QAM256 modulation; fault tolerance level; infocommunication systems; neuronetwork devices; quantitative criterion; radio signal recognition; Artificial neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
  • Conference_Location
    Sevastopol
  • Print_ISBN
    978-966-335-412-5
  • Type

    conf

  • DOI
    10.1109/CRMICO.2014.6959416
  • Filename
    6959416