Research on Sports Performance Prediction Based on BP Neural Network

Abstract

Artificial neural network has the advantages of self-training and fault tolerance, while BP neural network has simple learning algorithms and powerful learning capabilities. )e BP neural network algorithm has been widely used in practice. )is paper conducts research on sports performance prediction based on 5G and artificial neural network algorithms.)is paper uses the BP neural network algorithm as a pretest modelling method to predict the results of the 30th Olympic Men’s 100m Track and Field Championships and is supported by the MATLAB neural network toolbox. According to the experimental results, the scheme proposed in this paper has better performance than the other prediction strategies. In order to explore the feasibility and application of the BP neural network in this kind of prediction, there is a lot of work to be done. )e model has a high prediction accuracy and provides a new method for the prediction of sports performance. )e results show that the BP neural network algorithm can be used to predict sports performance, with high prediction accuracy and strong generalization ability.