【摘要】：為改善中國(guó)足球的競(jìng)技能力,提高運(yùn)動(dòng)員訓(xùn)練效果,提出基于數(shù)據(jù)挖掘技術(shù)的足球最優(yōu)飛行軌跡估計(jì)方法。首先采用決策樹方法對(duì)歷史足球飛行軌跡數(shù)據(jù)構(gòu)造樹形架構(gòu),并在決策樹上進(jìn)行數(shù)據(jù)特征分類,提取足球飛行速度的大小、方向等分類結(jié)果,然后利用卡爾曼濾波估計(jì)足球飛行狀態(tài),通過時(shí)序解析和碰撞測(cè)試挖掘出足球最優(yōu)飛行軌跡。實(shí)驗(yàn)結(jié)果表明,該方法估計(jì)結(jié)果與足球?qū)嶋H飛行軌跡的軌跡相似度高,可以應(yīng)用于實(shí)際中。
[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.
【作者單位】： 廣西師范學(xué)院;
【分類號(hào)】：G843;TP311.13

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本文編號(hào)：2356940