现代电子技术2017，Vol.40Issue(11)：119-122,4.DOI:10.16652/j.issn.1004-373x.2017.11.031
基于数据挖掘的排球运动员身体素质评价模型
Data mining based physical quality evaluation model for volleyball athletes
摘要
Abstract
The data mining based physical quality evaluation model for volleyball athletes is established. The five structure features of the volleyball athletes physical quality are mined with the mathematical statistics. According to the five physical quali-ty features,the representative indicators of the volleyball athletes physical quality is acquired. On the basis of the ratio of the ro-tated characteristic value of the quality factor representing the physical quality of different indicators to the rotated total charac-teristic value of different factors,the weight coefficient of the representative indicator of the athletes physical quality factor is ob-tained. On the basis of the weight coefficient,the volleyball athletes physical quality evaluation model based on data mining is acquired. The model is used to train the athletes,and evaluate the game and physical quality effectively. The factor analysis is adopted to test the designed volleyball athletes physical quality evaluation model based on data mining. The test results show that the evaluation model is reliable.关键词
数据挖掘/身体素质/评价模型/权重系数Key words
data mining/physical quality/evaluation model/weight coefficient分类
信息技术与安全科学引用本文复制引用
杨宋华..基于数据挖掘的排球运动员身体素质评价模型[J].现代电子技术,2017,40(11):119-122,4.基金项目
南通大学自然科学基金项目(14Z016) （14Z016）
江苏省现代教育技术研究课题(2015-R-41638) （2015-R-41638）
