• DocumentCode
    2754998
  • Title

    The anchored node backpropagation network

  • Author

    Spizuoco, Joseph A.

  • Author_Institution
    Dept. of Phys., Shippensburg Univ., PA, USA
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given, as follows. Simple modifications to a standard backpropagation (BP) network have been made that result in a 90% decrease in training times for an eight input, one hidden layer, feedforward network. Compared to a similar BP network, the modified network is equally good at generalization and is not as sensitive to initial weight settings as measured by its likelihood of becoming trapped in a local minimum
  • Keywords
    learning systems; neural nets; anchored node backpropagation network; feedforward network; hidden layer; learning systems; neural nets; training times; Adaptive systems; Associative memory; Backpropagation; Electron traps; Magnesium compounds; Network synthesis; Neural networks; Physics; Weight measurement;
  • 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.1991.155646
  • Filename
    155646