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

Author(s): Qingwu Zhang

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.

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