• DocumentCode
    2701107
  • Title

    A superior error function for training neural networks

  • Author

    Kalman, Barry L. ; Kwasny, Stan C.

  • Author_Institution
    Center for Intelligent Comput. Syst., Washington Univ., St. Louis, MO, USA
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Firstpage
    49
  • Abstract
    The authors present an error function `kerr´ which does not have the objectionable properties exhibited by the error function `ferr´ usually used to train neural networks. When combined with the conjugate gradient method, `kerr´ shows dramatic speedups over `ferr´ and back-propagation. Ferr is a sum of squares; in kerr each square is divided by a factor
  • Keywords
    errors; learning systems; neural nets; conjugate gradient method; error function; ferr; kerr; modified sum of squares; training neural networks; Computer networks; Feedforward systems; Gradient methods; Intelligent networks; Intelligent systems; Kalman filters; Minimization methods; Neural networks; Terminology; Waste materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155311
  • Filename
    155311
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2701107