• DocumentCode
    2697501
  • Title

    A learning rule in the Chebyshev norm for multilayer perceptrons

  • Author

    Burrascano, Pietro ; Lucci, P.

  • fYear
    1990
  • fDate
    17-21 June 1990
  • Firstpage
    81
  • Abstract
    An L∞ version of the backpropagation paradigm is proposed, and a comparison between the L2 and the L∞ paradigms is presented, taking into account computational cost and speed of convergence. The convergence of the L∞ algorithm has been successfully tested in several cases
  • Keywords
    convergence; learning systems; neural nets; Chebyshev norm; backpropagation paradigm; computational cost; convergence; learning rule; multilayer perceptrons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1990., 1990 IJCNN International Joint Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1990.137827
  • Filename
    5726785
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2697501