An analysis of hurdle performance prediction based on mechanical analysis and gray prediction model
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论文类型：期刊论文
发表时间：2013-01-01
发表刊物：International Journal of Applied Mathematics and Statistics
收录刊物：Scopus、EI
卷号：39
期号：9
页面范围：243-250
ISSN号：09731377
摘要：Firstly, by mechanical analysis, this article establishes a model to seek the optimal crossing angle. Aiming at the unknown, imprecise and fuzzy features for athletic performance variation, with the application of the gray model of gray system theory, this study builds the gray model GM (l, l) for the world record and national record of hurdle, and conducts posterior testing and association analysis. The results show that the accuracy of the model are in general, indicating that the prediction model is with sufficient accuracy, and can be used to reveal the systematic law of the athletic performance development. At the same time, conduct prediction of the 2020 Olympic hurdle results based on this model. ? 2013 by CESER Publications.