• DocumentCode
    1713164
  • Title

    Nonlinear dynamic system identification with dynamic recurrent neural networks

  • Author

    Calderon, Gustavo ; Draye, Jean-Philippe ; Pavisic, Davor ; Teran, Roberto ; Libert, Gaëtan

  • Author_Institution
    Mons Univ., Belgium
  • fYear
    1996
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    We work with the dynamical recurrent neural network as a tool for system identification. We train this network using a time-dependent back-propagation learning algorithm and we show that for modeling a nonlinear dynamical system, our neural device has good performance for interpolation and extrapolation, and is very robust in the presence of noise
  • Keywords
    backpropagation; extrapolation; identification; interpolation; nonlinear dynamical systems; recurrent neural nets; dynamic recurrent neural networks; extrapolation; interpolation; neural device; noise; nonlinear dynamic system identification; nonlinear dynamical system; time-dependent back-propagation learning algorithm; Interpolation; Laboratories; Neural networks; Noise robustness; Nonlinear dynamical systems; Power system modeling; Recurrent neural networks; Surges; System identification; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
  • Conference_Location
    Venice
  • Print_ISBN
    0-8186-7456-3
  • Type

    conf

  • DOI
    10.1109/NICRSP.1996.542744
  • Filename
    542744
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1713164