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个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:沈阳体育学院
学位:硕士
所在单位:体育与健康学院
联系方式:13889673320
电子邮箱:ysye1981@dlut.edu.cn
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:EI、Scopus
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.