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Jump Performance Prediction Model Based On BP Neural Network

Bing Zhang, Weiqi Jiang


There are many factors to influence sports result, traditional performance prediction method is hard to get satisfied results. This paper USES the long jump athletes special grades and quality training level, the re-lationship between the with the powerful nonlinear mapping ability of BP neural network, puts forward the broad-jump athlete special grades to neural network prediction model. Make up for the deficiency of the traditional prediction method, the model makes full use of the data contained in the message. Com-pared with the traditional prediction method, the accuracy of the predicted results is greatly improved. In order to solve the field complex difficult problem to solve with traditional mathematical methods provide a new thought and method So as to provide theoretical basis for scientific training for athletes.


BP neural network, long jump, special achievements, forecasting model.

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