@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},
	}