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Prediction based on basketball competition video athlete behaviors and on-line RBF neural network application

机译:基于篮球比赛视频运动员行为的预测及在线RBF神经网络的应用

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The paper puts emphasis research on basketball competition athlete behaviors predicting, makes analysis of holding athletes??? behaviors and shooting as well as other processes, proposes on-line RBF neural network model to predict basketball video???s athlete behaviors, puts forward artificial potential fields to players in field position influence model, input athlete shooting, passing, dribbling and other motions into the model, and makes prediction by adjusting parameters, its result proves high precise of prediction.
机译:本文着重研究篮球比赛运动员的行为预测,对持球运动员进行分析。行为和射击以及其他过程,提出在线RBF神经网络模型来预测篮球视频的运动员行为,在场位置影响模型中向运动员提出人工势场,输入运动员的射击,传球,运球等运动进入模型,并通过调整参数进行预测,其结果证明了预测的高精度。

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