• Title of article

    Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 1: Theory and network properties

  • Author/Authors

    Wienke، نويسنده , , Dietrich and Buydens، نويسنده , , Lutgarde، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 1996
  • Pages
    14
  • From page
    151
  • To page
    164
  • Abstract
    The FuzzyARTMAP algorithm is studied with respect to its usefulness for supervised chemical pattern recognition. The theory of this relatively complex artificial neural classifier is presented in detail for chemists. An instructive data set of moderate size, describing male and female participants in courses of chemometrics by their body measures, is used to demonstrate how FuzzyARTMAP works and what its basic properties are.
  • Keywords
    Adaptive resonance theory (ART) , Fuzzy Set Theory , Artificial neural networks , Pattern recognition
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Serial Year
    1996
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Record number

    1459503

    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=10&DC=1459503