• DocumentCode
    1021408
  • Title

    Entropic Volterra classifier (EVC) for use in data classification

  • Author

    Lasenby, Joan ; Fitzgerald, William J.

  • Author_Institution
    Dept. of Eng., Cambridge Univ.
  • Volume
    30
  • Issue
    1
  • fYear
    1994
  • fDate
    1/6/1994 12:00:00 AM
  • Firstpage
    53
  • Lastpage
    54
  • Abstract
    The authors consider the use of a novel form of connectionist model as a pattern classifier. The major difference in this approach is the introduction of an entropic regularising term into the basic least-squares problem. The network weights are found by optimising this regularised cost function over the training data
  • Keywords
    least squares approximations; neural nets; pattern recognition; connectionist model; data classification; entropic Volterra classifier; entropic regularising term; least-squares problem; network weights; pattern classifier; regularised cost function; training data;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19940005
  • Filename
    260598
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1021408