基于蚁群算法的桌球运动态势研究  

Research on table tennis movement situation based on ant colony algorithm

作　　者：韩良子 HAN Liangzi(Department of Physical Education,Shenyang Aerospace University,Shenyang 110136,China)

机构地区：[1]沈阳航空航天大学体育部,辽宁沈阳110136

出　　处：《商丘师范学院学报》2021年第3期11-13,共3页Journal of Shangqiu Normal University

基　　金：天津市十三五规划课题(省部级)(VE3107)。

摘　　要：通过蚁群算法构建了桌球运动态势分析模型.首先,分析了桌球态势分析的意义所在.其次,讨论了桌球运动态势的主要影响因素,然后,研究了蚁群算法的基本模型.最后,进行了实例仿真分析,仿真结果表明利用蚁群算法可以准确地预测桌球运动态势,为制定有效的桌球运动管理制度提供依据.the analysis model of table tennis movement situation is constructed by ant colony algorithm.First,the significance of table tennis situation analysis is analyzed.Secondly,the main influencing factors of table tennis movement situation are discussed,and then,the basic model of ant colony algorithm is studied.Finally,a case simulation analysis is carried out.The simulation results show that ant colony algorithm can accurately predict the motion of table tennis,and provide a basis for making effective table tennis management system.

关 键 词：桌球态势 蚁群算法 影响因素 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]