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