基于粒子群算法的乒乓球专选评测指标模型的研究  

Research on Table Tennis Specialized Course Evaluation Indicator Model Based on Particle Swarm Optimization

作　　者：王丽[1] 罗勇[2] 

机构地区：[1]重庆理工大学体育教学部,重庆400050 [2]成都体育学院体育系,成都610041

出　　处：《广州体育学院学报》2009年第3期51-53,63,共4页Journal of Guangzhou Sport University

摘　　要：以重庆理工大学372名男生和234女生为研究对象,运用粒子群算法建立乒乓球专选的评测指标模型,通过分析得出各种评测指标的分离度和内聚集度,以及学生在各项指标中的得分。该体系在方法学上是可靠的、可行的,能反映出学生的身体素质水平,可以为教师选才和学生选项提供了科学的依据。Taking 372 male and 234 female college students in Chongqing University of Technology as the research object, u- sing Particle Swarm Optimization（PSO） establish evaluation indicators model of table tennis specialized course, this paper got the resolutions and cohesion of all kinds of evaluation indicators by analyzing, as well as students＇scores in all indicators. The system is reliable and feasible in methodology. It offers scientific reference for making training program and choosing athletes.

关 键 词：乒乓球专选 粒子群算法 评测指标模型 

分 类 号：G846[文化科学—体育训练]