• DocumentCode
    3269769
  • Title

    Backpropagation algorithm which varies the number of hidden units

  • Author

    Hirose, Y. ; Yamashita, Katsumi ; Hijiya, S.

  • Author_Institution
    Fujitsu Lab. Ltd., Atsugi, Japan
  • fYear
    1989
  • fDate
    0-0 1989
  • Abstract
    Summary form only given, as follows. A backpropagation algorithm is presented that varies the number of hidden units. The algorithm is expected to escape local minima and makes it no longer necessary to decide on the number of hidden units. Exclusive-OR training and 8*8 dot alphanumeric font training using this algorithm are explained. In exclusive-OR training, the probability of being trapped in local minima is reduced. In alphanumeric font training, the network converted two to three times faster than the conventional backpropagation algorithm.<>
  • Keywords
    learning systems; neural nets; XOR training; alphanumeric font training; backpropagation algorithm; hidden units; learning systems; local minima; neural nets; Learning systems; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1989. IJCNN., International Joint Conference on
  • Conference_Location
    Washington, DC, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1989.118518
  • Filename
    118518
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3269769