DocumentCode :
511161
Title :
Application of BP Neural Network Model in Sports Aerobics Performance Evaluation
Author :
Shao, Shuhe
Author_Institution :
Dept. of Phys. Educ., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
33
Lastpage :
35
Abstract :
This article provides partial evaluation index and its standard of sports aerobics, including the following 12 indexes: health vitality, coordination, flexibility, accuracy, pace, endurance, elasticity, self-confidence, form, control, uniformity and musicality. The three-layer BP artificial neural network model including input layer, hidden layer and output layer is established. The result shows that the model can well reflect the non-linear relationship between the performance of 12 indexes and the overall performance. The predicted value of each sample is very close to the true value, with a relative error fluctuating around of 5%, and the network training is successful. It shows that BP network has high prediction accuracy and good generalization capacity if being applied in sports aerobics performance evaluation after effective training.
Keywords :
backpropagation; neural nets; sport; training; BP neural network; partial evaluation index; sports aerobics performance evaluation; training; Application software; Artificial neural networks; Control engineering education; Educational technology; Elasticity; Electronic mail; Knowledge engineering; Neural networks; Software engineering; Software standards; BP neural network; evaluation; performance; sports aerobics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3916-4
Type :
conf
DOI :
10.1109/KESE.2009.17
Filename :
5383629
Link To Document :
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