• DocumentCode
    2883873
  • Title

    High-order feedbackward neural networks

  • Author

    Kwan, Hon Keung

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • fYear
    1991
  • fDate
    16-17 Jun 1991
  • Firstpage
    49
  • Abstract
    The learning and recall algorithms of a high-order feedbackward artificial neural network are presented. The new network is fast in learning and the convergence of the procedure is guaranteed. Simulation results on the use of the network as an autoassociator as compared to those of the multilayer feedforward neural networks are included to illustrate the usefulness of the method
  • Keywords
    convergence; learning systems; neural nets; autoassociator; convergence; high-order feedbackward artificial neural network; learning algorithm; recall algorithms; simulation; Artificial neural networks; Circuits and systems; Convergence; Feedforward neural networks; Multi-layer neural network; Neural networks; Neurofeedback; Neurons; Output feedback; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICCAS.1991.184277
  • Filename
    184277
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2883873