• DocumentCode
    3197117
  • Title

    Neural network trends for frequency control: a review

  • Author

    Hivert, B. ; Brendel, R.

  • Author_Institution
    Lab. de Phys. et Metrol. des Oscillateurs, CNRS, Besancon, France
  • fYear
    1995
  • fDate
    31 May-2 Jun 1995
  • Firstpage
    10
  • Lastpage
    19
  • Abstract
    The purpose of this paper is first, to give the reader a comprehensive “state of the art” in the neural networks field, then to discuss what kind of help such processing techniques may bring in the frequency control area. So, we will give basic considerations about neural networks, explaining their principle. Then, we will show how they work and what kind of task they might perform, principally from the point of view of function approximation and pattern recognition. We will use this background to show some applications and to be critical on how neural networks may be used. Then, a review of frequency control fields where neural networks may be applied will be presented. In order to let the reader make up their own opinion, particular attention will be paid to the literature
  • Keywords
    frequency control; function approximation; neural nets; pattern recognition; frequency control; function approximation; neural networks; pattern recognition; Artificial neural networks; Biological cells; Biological neural networks; Cells (biology); Frequency control; Function approximation; Neural networks; Neurons; Pattern recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frequency Control Symposium, 1995. 49th., Proceedings of the 1995 IEEE International
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-2500-1
  • Type

    conf

  • DOI
    10.1109/FREQ.1995.483878
  • Filename
    483878