杨树叶

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

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

An analysis of hurdle performance prediction based on mechanical analysis and gray prediction model

点击次数:

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.