Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (36): 8-11.DOI: 10.3778/j.issn.1002-8331.2009.36.003

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Research on table tennis data mining based on improved ant colony algorithm

MENG Xian-ming,LING Pei-liang   

  1. Mechanical Engineering College,Tongji University,Shanghai 200092,China
  • Received:2009-09-28 Revised:2009-10-30 Online:2009-12-21 Published:2009-12-21
  • Contact: MENG Xian-ming

基于改进蚁群算法的乒乓球数据挖掘研究

孟宪明,凌培亮   

  1. 同济大学 机械工程学院,上海 200092
  • 通讯作者: 孟宪明

Abstract: Through improvement strategies such as the pheromones update and routing probability in Ant-Miner algorithm frame,according to the characteristics of table tennis technical and tactical analysis,this paper proposes the classification model of techniques and tactics of table tennis based on improved ant colony algorithm.And it has been carried on the experimental analysis.It has the great advantages of the mining effect and the regular quality compared with association rule mining of the table tennis techniques and tactics.It has also been applied in competition and training of the National Table Tennis Team and receives better praise.

摘要: 在Ant-Miner算法框架中通过对信息素更新和路径选择概率等策略的改进,并结合乒乓球技战术分析的特点,建立了基于改进蚁群算法的乒乓球技战术分类挖掘模型,并进行了实例分析,与乒乓球技战术关联规则挖掘相比较,该算法在挖掘效果和规则质量方面有很大的优势,并已应用于国家乒乓球队比赛和训练中,效果良好。

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