%0 Journal Article %A Shuhe Shao %D 2012 %J International Journal of Medical and Health Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 72, 2012 %T Application of BP Neural Network Model in Sports Aerobics Performance Evaluation %U https://publications.waset.org/pdf/9211 %V 72 %X 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. %P 633 - 636