• DocumentCode
    416751
  • Title

    Structural identification of the multi-layered neural networks by using revised GMDH-type neural network algorithm with a feedback loop

  • Author

    Kondo, Tadashi ; Pandya, Abhijit S.

  • Author_Institution
    Sch. of Health Sci., Tokushima Univ., Japan
  • Volume
    3
  • fYear
    2003
  • fDate
    4-6 Aug. 2003
  • Firstpage
    2768
  • Abstract
    In this paper, the revised GMDH-type neural network algorithm with a feedback loop is proposed. This algorithm is a revised version of the conventional GMDH-type neural network algorithm with a feedback loop. The revised GMDH-type neural networks can identify nonlinear complex system very accurately because the complexity of the neural network architecture increases gradually by the feedback loop calculations.
  • Keywords
    feedback; identification; neural net architecture; nonlinear control systems; radial basis function networks; feedback loop; group method of data handling; multilayered neural networks; nonlinear complex system; structural identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2003 Annual Conference
  • Conference_Location
    Fukui, Japan
  • Print_ISBN
    0-7803-8352-4
  • Type

    conf

  • Filename
    1323816