• DocumentCode
    1562989
  • Title

    A New Pattern Recognition Algorithm Based on Fuzzy Association Degree

  • Author

    Ding, Shifei ; Shi, Zhongzhi

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing
  • Volume
    1
  • fYear
    2005
  • Firstpage
    54
  • Lastpage
    57
  • Abstract
    Based on fuzzy association degree, a new pattern recognition algorithm is set up. First, some new concepts of fuzzy association coefficient (FAC), fuzzy association degree (FAD) and fuzzy relative weight (FRW) have been proposed for surveying data information. Second, on the basis of the concepts proposed here, a new pattern recognition algorithm has been set up. At last, the algorithm set up here is applied to surveying data. The results of simulation application show that the recognition algorithm presented here is feasible and effective
  • Keywords
    fuzzy set theory; pattern recognition; fuzzy association coefficient; fuzzy association degree; fuzzy relative weight; pattern recognition algorithm; Agricultural engineering; Artificial neural networks; Educational institutions; Fuzzy neural networks; Fuzzy sets; History; Information science; Laboratories; Pattern analysis; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614567
  • Filename
    1614567