@article{(Open Science Index):https://publications.waset.org/pdf/9211, title = {Application of BP Neural Network Model in Sports Aerobics Performance Evaluation}, author = {Shuhe Shao}, country = {}, institution = {}, 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.}, journal = {International Journal of Medical and Health Sciences}, volume = {6}, number = {12}, year = {2012}, pages = {633 - 636}, ee = {https://publications.waset.org/pdf/9211}, url = {https://publications.waset.org/vol/72}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 72, 2012}, }