• DocumentCode
    314344
  • Title

    Adapting the 2-class recursive deterministic perceptron neural network to m-classes

  • Author

    Tajine, Mohamed ; Elizondo, David ; Fiesler, Emile ; Korczak, Jerzy

  • Author_Institution
    Dept. d´´Inf., ULP, Strasbourg, France
  • Volume
    3
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    1542
  • Abstract
    We introduce a generalization of the 2-class recursive deterministic perceptron (RDP). This generalization allows the perceptron to separate, in a deterministic way, into m classes. It is based on a new notion of linear separability and it falls naturally from the 2 valued RDP
  • Keywords
    function approximation; generalisation (artificial intelligence); pattern classification; perceptrons; topology; function approximation; generalization; hyperplane; linear separability; neural network; pattern classification; recursive deterministic perceptron; topology; Neural networks; Testing; Topology; Zirconium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.614122
  • Filename
    614122
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=314344