• DocumentCode
    2756762
  • Title

    Increase the validity of positional-binary recognition of cyclic signals with application of radial-basis functional neural network

  • Author

    Aliev, T.A. ; Nusratov, N.Q. ; Rzaev, R.R.

  • Author_Institution
    Inst. of Cybern., Baku, Azerbaijan
  • fYear
    2011
  • fDate
    12-14 Oct. 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    For increase of validity of a positional-binary method of cyclic signals recognition it is offered to use the radial-basis functional neural network allowing in the recognition process essentially to differentiate analyzed cyclic signals under time characteristics of their positional-pulse-width components locations.
  • Keywords
    radial basis function networks; signal detection; cyclic signal recognition; positional pulse width components; positional-binary recognition; radial basis functional neural network; Character recognition; Cybernetics; Feedforward neural networks; Informatics; MATLAB; Monitoring; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-61284-831-0
  • Type

    conf

  • DOI
    10.1109/ICAICT.2011.6111019
  • Filename
    6111019