• DocumentCode
    3046979
  • Title

    The data mining model of physical factors based on neural network and polymerization of association rules

  • Author

    Jiang Qi-yu ; Sun Xiao-sheng

  • Author_Institution
    Guangzhou Univ. Of Traditional Chinese Med., Guangzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    9-11 Dec. 2011
  • Firstpage
    239
  • Lastpage
    241
  • Abstract
    The individual body formed by the many body effects of factors, there has been complex nonlinear relationship between them. This paper applies the neural network to train simulation between impact factor and individual constitution of the relationship, influence factor and physical fitness between “super quantization” relationship, this paper proposes a new algorithm of association rules data mining polymerization, to construct the corresponding physical model.
  • Keywords
    data mining; medicine; neural nets; polymerisation; association rules data mining polymerization; complex nonlinear relationship; neural network; physical factor; physical fitness; super quantization relationship; Association rules; Biological neural networks; Classification algorithms; Constitution; Data models; Training; data mining; neural network; physical impact factor; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine and Education (ITME), 2011 International Symposium on
  • Conference_Location
    Cuangzhou
  • Print_ISBN
    978-1-61284-701-6
  • Type

    conf

  • DOI
    10.1109/ITiME.2011.6132030
  • Filename
    6132030