• DocumentCode
    301698
  • Title

    Interactive pattern classification by means of artificial neural networks

  • Author

    Betrouni, M. ; Delsert, S. ; Hamad, D.

  • Author_Institution
    Centre d´´Autom. de Lille, Univ. des Sci. et Tech. de Lille, Villeneuve d´´Ascq, France
  • Volume
    4
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    3275
  • Abstract
    In this paper, we deal with the visualization of multivariate data by nonlinear projection methods performed by several multilayer neural networks. As the visualization is the first step in interactive pattern classification, we provide the operator with a set of tools to manipulate the data. The results have been applied to a real biometrical example of the Guadeloupe honeybees races
  • Keywords
    interactive systems; multilayer perceptrons; pattern classification; Guadeloupe honeybees races; artificial neural networks; biometrical example; interactive pattern classification; multilayer neural networks; multivariate data visualization; nonlinear projection methods; Artificial neural networks; Backpropagation algorithms; Data analysis; Data visualization; Humans; Multi-layer neural network; Multidimensional systems; Neural networks; Pattern classification; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.538290
  • Filename
    538290