基于数据挖掘的足球最优射门角度分析

摘要

In order to improve the accuracy of football shooting,a data mining based football optimal shooting angle analy-sis algorithm is proposed. The particle swam algorithm is used to plan the football field as a virtual network environment,cali-brate the path point of football shooting in real time,and analyze the superposition characteristics. According to pheromone in football field environment,the particle swam algorithm is adopted to perform optimization solution for the goal probability. The path fitness function is taken as the optimal target function to carry out data mining for shooting angle feature. The obtained opti-mal solution of path fitness function is deemed as the solution vector of optimal shooting angle. The simulation results show that the algorithm can plan an optimal goal path in football field environment with different complexities,and is applicable for the guidance of football training.%为了提高足球射门的准确度,提出数据挖掘的足球最优射门角度分析算法.采用粒子群算法把球场规划为一个虚拟的网格环境,对足球射门路径点实时标定和叠加特性进行分析,根据球场环境中的信息素,粒子群算法实现进球概率优化求解,以路径适应度函数为优化目标函数进行射门角度特征数据挖掘,求得路径适应度函数的最优解即为最优射门角度的解向量.仿真结果表明,该算法可以在复杂程度不同的球场环境中规划出一条最优进球路径,可以用于指导足球训练.