摘要
通过对2004年欧洲杯足球赛16支球队的进球、射门、射门命中率、角球、控球、成功传球、抢断、被抢断、犯规、越位和失球等11项攻防技术指标进行主成分分析的基础上,确定球队技战术能力评价的综合指标。引入自组织特征映射神经网络模型,提出了基于自组织特征映射网络的球队分类方法,该方法在无指导的情况下,通过对自组织学习,实现了合理、科学的球队分类。分类结果客观反映了2004年欧洲杯各队技战术的综合实力,揭示了世界足球运动的发展趋势,并探索出一种合理评价球队技战术水平的方法。
indexes of attacking and defending,such as goals scored,total shots,goals to shots,corner kicks,ball possession,passes completed,tackles,tackles suffered,fouls committed,offsides and goals conceded of the16football teams participating in the UEFA EURO2004are analyzed by principal component analysis,and further the comprehensive indexes for evaluating are determined to reflect the technical and tactical abilities of football teams.Then,on the basis of this analysis,by means of the self-organizing feature map neural network,a self-organizing feature map based neural network method for evaluating football teams is proposed,which achieves accurate football team classifying by self-organizing learning without the help of guidance.The clustering results objectively reflect the comprehensive technical and tactical actual strength of the teams.The development trend of football in the world is revealed,and a rational cluster method of technical and tactical abilities of football teams is explored.
出处
《广州体育学院学报》
北大核心
2005年第3期64-66,91,共4页
Journal of Guangzhou Sport University
关键词
足球
2004年欧洲杯
自组织特征映射
神经网络
攻防指标
football
UEFA EURO2004
self-organizing feature map
neural network
attacking and defending index
