• DocumentCode
    3269827
  • Title

    Speeding up artificial neural networks in the ´real´ world

  • Author

    Hoskins, J.C.

  • Author_Institution
    MCC, Austin, TX, USA
  • fYear
    1989
  • fDate
    0-0 1989
  • Abstract
    Summary form only given, as follows. A novel heuristic, called focused-attention backpropagation (FAB) learning, is introduced. FAB enhances the backpropagation procedure by focusing attention on the exemplar patterns that are most difficult to learn. Results are reported using FAB learning to train multilayer feedforward artificial neural networks to represent real-valued elementary functions. The rate of learning observed for FAB is 1.5 to 10 times faster than for backpropagation.<>
  • Keywords
    learning systems; neural nets; focused-attention backpropagation; heuristic; learning systems; multilayer feedforward networks; neural networks; 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.1989.118520
  • Filename
    118520
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3269827