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
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;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6132030
