• DocumentCode
    305390
  • Title

    Study on feature weight and feature selection in pattern classification neural networks

  • Author

    Li, Rui-Ping ; Mukaidono, Masao ; Turksen, I. Burhan

  • Author_Institution
    Dept. of Ind. Eng., Toronto Univ., Ont., Canada
  • Volume
    3
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    1972
  • Abstract
    Pattern recognition have two major topics: 1) pattern classification; and 2) feature selection. Study on the later is seldom been found from published papers. This paper considers these two problems at the same time. We design an artificial neural network for pattern classification and feature selection. We also introduce our design thought in detailed. Two examples are used to illustrate our approach
  • Keywords
    Hebbian learning; feature extraction; fuzzy logic; fuzzy neural nets; pattern classification; feature selection; feature weight; fuzzy logic; fuzzy neural networks; neural networks; pattern classification; proportional learning vector quantisation; Artificial neural networks; Computer industry; Fuzzy set theory; Fuzzy sets; Humans; Linear discriminant analysis; Neural networks; Neurons; Pattern classification; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.565427
  • Filename
    565427