• DocumentCode
    2487878
  • Title

    Parameters modeling for a modified mixture of experts

  • Author

    Jin, Jian ; Huang, Guo-Xing ; Ding, Jianguo ; Hu, Yong-Tao

  • Author_Institution
    Sch. of Inf. Sci., East China Normal Univ., Shanghai
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    4024
  • Lastpage
    4029
  • Abstract
    This investigation was performed to see the regularity of parameters in the modified mixture of experts (MoE) to direct parameter selection in real applications. The experiment was performed on the mean of monthly precipitation in May from 1956a through 2004a in a Chinese region. We got stable parameter combinations through testing on various combinations of parameters in various value ranges, and made statistics on the parameters in the stable combinations. The results showed that all the three parameters follow certain laws and suggest their importance. The relationship between the fuzzy weighting exponent and the value ranges of the cluster number and the index of the effectiveness factor are linear. It is of guiding significance to parameter selection in MoE systems.
  • Keywords
    expert systems; modelling; direct parameter selection; effectiveness factor; fuzzy weighting exponent; mixture of experts systems; parameters modeling; Automation; Information science; Information security; Intelligent control; Neural networks; Partial response channels; Pattern classification; Software engineering; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593572
  • Filename
    4593572