• DocumentCode
    2348741
  • Title

    A Mixture of Experts with Two-Stage Adaptive Fuzzy c-means Gate

  • Author

    Jin Jian ; Jin Long

  • Author_Institution
    Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    1319
  • Lastpage
    1323
  • Abstract
    A mixture of experts with a two-stage adaptive FCMef (2-AFCMef) gate is presented to overcome problems of equal-sized divide and conquer and its efficiency. In 2-AFCMef algorithm, a descending ordered series of indexes of effectiveness factor is applied in turn for trying, so that the maximal index can be achieved while any cluster does not disappear. The result of traditional fuzzy c-means clustering algorithm, instead of blindly and randomly searching for many times, is pre-treated as the initial condition of FCMef algorithm. The new method is applied to the field typhoon tracks prediction in South China Sea. Results show great improvement by more than 10% compared to that of the traditional method under the same conditions.
  • Keywords
    divide and conquer methods; fuzzy neural nets; fuzzy set theory; geophysics computing; pattern clustering; storms; 2-AFCMef algorithm; South China Sea; divide and conquer; field typhoon tracks prediction; mixture of experts; traditional fuzzy c-means clustering algorithm; two-stage adaptive fuzzy c-means gate; Clustering algorithms; Equations; Indexes; Logic gates; Mathematical model; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.37
  • Filename
    5957894