基于决策树的网球选材指标学习方法  

Tennis Player Qualification Measure Learning Based on Decision Trees

作　　者：巫文佳[1] 闵帆[1] 

机构地区：[1]闽南师范大学

出　　处：《哈尔滨师范大学自然科学学报》2013年第6期90-94,共5页Natural Science Journal of Harbin Normal University

基　　金：2012年福建省自然科学基金项目(2012J01294);2012年福建省教育厅科技项目资助(JK2012028)

摘　　要：基于决策树算法,通过对网球选材指标数据进行挖掘,找出重要的选材指标,剔除冗余指标,并获得合理的成绩评判标准,最终建立网球选材指标评价模型.针对闽南师范大学体育学院学生数据进行相关挖掘,结果显示:部分指标(4×10 m折返跑、立定跳远等)在选材中起重要作用,部分指标(如肺活量)显得冗余.In this paper, student data from the students of the Department of Physical Education. Minnan Normal University are collected first. Then more important attributes and remove redundant ones are found out, and reasonable standard is obtained. Finally an evaluation model through building a decision tree is constructed. Experimental results show that some attributes such as 4 × 10 m shuttle run and standing long jump are very important, while some attributes such as vital capacity are redundant.

关 键 词：决策树 网球 选材指标 学习方法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]