• DocumentCode
    3322244
  • Title

    A self-learning threshold-controlled neural network

  • Author

    Hartstein, A. ; Koch, R.H.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1988
  • fDate
    24-27 July 1988
  • Firstpage
    425
  • Abstract
    A neural network structure is proposed that is controlled by device thresholds rather than multiplicative factors. This network has the feature that the learning parameter is embodied locally in the device thresholds. The network is shown to be capable of learning by example, as well as exhibiting other desirable features of the Hopfield type networks.<>
  • Keywords
    artificial intelligence; learning systems; neural nets; Hopfield type networks; artificial intelligence; learning parameter; neural network structure; self learning threshold control; Artificial intelligence; Learning systems; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1988., IEEE International Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/ICNN.1988.23875
  • Filename
    23875
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3322244