The research and application of posterior error test prediction model on sports competition results based on gray theory

Author(s): YaJunWu

To correctly predict the scores of athletes is to make a best forecast on the future development of athletes; in general, based on the historical performance of an athlete, the results can be predicted. Especially in large athletic competition, it is particularly important to choose the correct athletes. In this paper, it uses the gray model to predict sports results, takes the javelin athlete’s performance as an example to predict the athletes’ performance of this class, draws trend charts for the athletes, and conducts error analysis.And it uses the performance of hammer throwandmen’s 100 m to promote the gray prediction system, the obtained data has good predictability, and the error is low, which is applied to the performance predictions of most sports.

Share this       

Share this Page

Table of Contents

Scimago Journal Rank

SCImago Journal & Country Rank