抽象的な

Optimization model of athletic performance prediction based on neural network application research

Lei Song, Minggang Shen, Xuebo Chen, Junsheng Wang

There are many influence factors in the achievement of track and field, so to forecast the athletes' grades need to better forecast model, based on this thought, this paper has introduced the BP neural network model, RBF neural network model and dynamic neural network model, after comparison of draw three BP neural network model has high accuracy, in addition, through the three kinds of neural network model for the combination, introduced to the specific instance is obtained through the combination of the model after than any single forecast model accuracy is high, so that faster the superiority of this model, he will be on neural network for sports performance prediction development play an important role.