DocumentCode :
2398834
Title :
Study on fitness data processing based on neural network information processing
Author :
Zhang, Chonglin ; Yu, Lijuan ; Wu, Weibing
Author_Institution :
Sch. of Kinesiology, Shanghai Univ. of Sport, Shanghai, China
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
295
Lastpage :
298
Abstract :
Assessment index data missing value added model, fitness comprehensive assessment model and fitness index weight coefficient calculation model are set up based on the basic principles of artificial neural network, taking certain staff of one university in Shanghai as subjects. Precisions of learning samples and verified samples in assessment index data missing value added model are respectively 86.9 percent and 85.7 percent, which can be used to supplement missing value and predict index; precisions of learning samples and verified samples in fitness comprehensive assessment model are respectively 91.7 percent and 90.4 percent, which can be used to calculate practical assessment; fitness index weight coefficient calculation model apply new thoughts to the solution of fitness index weight coefficient, worthy to spread and apply widely.
Keywords :
data mining; health care; neural nets; Shanghai; artificial neural network; assessment index data missing value added model; fitness comprehensive assessment model; fitness data processing; fitness index weight coefficient calculation model; neural network information processing; Accuracy; Artificial neural networks; Data models; Data processing; Educational institutions; Indexes; Numerical models; Artificial Neural Network; Assessment; Fitness; Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223619
Filename :
6223619
Link To Document :
بازگشت