数据挖掘技术的足球最优飞行轨迹估计

发布时间：2018-11-25 17:50

【摘要】：为改善中国足球的竞技能力,提高运动员训练效果,提出基于数据挖掘技术的足球最优飞行轨迹估计方法。首先采用决策树方法对历史足球飞行轨迹数据构造树形架构,并在决策树上进行数据特征分类,提取足球飞行速度的大小、方向等分类结果,然后利用卡尔曼滤波估计足球飞行状态,通过时序解析和碰撞测试挖掘出足球最优飞行轨迹。实验结果表明,该方法估计结果与足球实际飞行轨迹的轨迹相似度高,可以应用于实际中。
[Abstract]:In order to improve the competitive ability of Chinese football and improve the training effect of athletes, a method of optimal flight trajectory estimation based on data mining is proposed. Firstly, the decision tree method is used to construct the tree structure of the historical soccer flight track data, and the data feature classification is carried out on the decision tree to extract the classification results of the football flying speed and direction. Then the Kalman filter is used to estimate the flight state of football, and the optimal flight trajectory is obtained by time series analysis and collision test. Experimental results show that the proposed method can be used in practice because of its high similarity to the actual soccer flight trajectory.
【作者单位】：广西师范学院;
【分类号】：G843;TP311.13

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