• DocumentCode
    1299920
  • Title

    Learning method for fuzzy ARTMAP in a noisy environment

  • Author

    Lee, J.S. ; Yoon, C.G. ; Lee, C.W.

  • Author_Institution
    Coll. of Eng., Seoul Nat. Univ., South Korea
  • Volume
    34
  • Issue
    1
  • fYear
    1998
  • fDate
    1/8/1998 12:00:00 AM
  • Firstpage
    95
  • Lastpage
    97
  • Abstract
    A new learning method is proposed to enhance the performances of fuzzy adaptive resonance theory-predictive mapping (ARTMAP) neural networks in a noisy environment. It combines the average learning and slow learning for the weight vectors in fuzzy ARTMAP. It effectively reduces a category proliferation problem, and enhances recognition performance for noisy input patterns
  • Keywords
    ART neural nets; category theory; fuzzy neural nets; learning (artificial intelligence); pattern recognition; adaptive resonance theory-predictive mapping; average learning; category proliferation; fuzzy ARTMAP neural network; noisy environment; pattern recognition; slow learning; weight vectors;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19980004
  • Filename
    654545
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1299920