• DocumentCode
    1066858
  • Title

    Partial-distortion-weighted fuzzy competitive learning algorithm for vector quantisation

  • Author

    Zhu, C. ; Li, L.H. ; Wang, T.J. ; He, Z.Y.

  • Author_Institution
    Dept. of Radio Eng., Southeast Univ., Nanjing
  • Volume
    30
  • Issue
    6
  • fYear
    1994
  • fDate
    3/17/1994 12:00:00 AM
  • Firstpage
    505
  • Lastpage
    506
  • Abstract
    An effective competitive learning algorithm called the partial-distortion-weighted fuzzy competitive learning (PDW-FCL) algorithm is developed for vector quantisation. The PDW-FCL algorithm is able to minimise the likelihood of neuron (codevector) underuse and make good use of every neuron for optimal vector quantiser design
  • Keywords
    fuzzy set theory; learning (artificial intelligence); vector quantisation; codevector underuse; fuzzy competitive learning algorithm; optimal vector quantiser design; partial-distortion-weighted algorithm; vector quantisation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19940357
  • Filename
    280540
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1066858