Application of BP Neural Network Model in Sports Aerobics Performance Evaluation
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.
[1] Meng Yueting and Wu Lili.Review and Prospects of Public Aerobics in
China. Journal of Hubei Sports Science.2008(1):64.(in chinese)
[2] Du Fuzhi,Fu Wa-li and Du Xiao-hong.Water Quality Evaluation of Small
Basin in Three Gorges Reservoir Based on BP Neural Networks. Water
Saving Irrigation .2009(1):8. (in chinese)
[3] Wang Yang,Yu Dinghua and Sun Peng.Simulation of preparation of
acrylic acid from lacticacid dehydration based on BP neural network.
CIESC Journal. 2009(1):83. (in chinese)
[1] Zhou Guo-liang,Liu Xi-yu and Wu Lu-ying. Application of BP neural
network model on air quality rank appraisal. Computer Engine ring and
Design. 2009,30 (2):392. (in chinese)
[1] Meng Yueting and Wu Lili.Review and Prospects of Public Aerobics in
China. Journal of Hubei Sports Science.2008(1):64.(in chinese)
[2] Du Fuzhi,Fu Wa-li and Du Xiao-hong.Water Quality Evaluation of Small
Basin in Three Gorges Reservoir Based on BP Neural Networks. Water
Saving Irrigation .2009(1):8. (in chinese)
[3] Wang Yang,Yu Dinghua and Sun Peng.Simulation of preparation of
acrylic acid from lacticacid dehydration based on BP neural network.
CIESC Journal. 2009(1):83. (in chinese)
[1] Zhou Guo-liang,Liu Xi-yu and Wu Lu-ying. Application of BP neural
network model on air quality rank appraisal. Computer Engine ring and
Design. 2009,30 (2):392. (in chinese)
@article{"International Journal of Medical, Medicine and Health Sciences:58280", author = "Shuhe Shao", title = "Application of BP Neural Network Model in Sports Aerobics Performance Evaluation", 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 = "BP neural network, sports aerobics, performance,
evaluation.", volume = "6", number = "12", pages = "688-4", }