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. The BP neural network algorithm has been widely used in practice. This paper conducts research on sports performance prediction based on 5G and artificial neural network algorithms. This 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. The model has a high prediction accuracy and provides a new method for the prediction of sports performance. The results show that the BP neural network algorithm can be used to predict sports performance, with high prediction accuracy and strong generalization ability.
Highlights
How to evaluate the performance of sports is an issue worth studying, and many scholars have studied the evaluation method for course performance. e usual method is to make scoring rule, in which the judge marks according to the completion of the rule and adds up the scores
E BP network was proposed by the scientist team headed by Rumelhart and McCelland in 1986 [13, 14], which is a multilayer feed-forward network trained by using the error back-propagation algorithm
E BP network is currently one of the most widely applied neural network models. e BP network can learn and store a large number of input-output model mapping without disclosing or describing the mathematical equation of this mapping in advance. is method has wide application prospect in the performance evaluation of sports aerobics. e BP algorithm can better describe the nonlinear relationship between sports performance and various factors [15]
Summary
Based on the existing sports performance, the prediction of sports performance will be used in the Olympic Games, Asian Games, National Games, and other major sports events [16, 17]. is prediction provides clear training and competition goals for athletes and coaches, at the same time, we can track and judge the development laws and characteristics of sports achievements. Methods e BP neural network is a multilayer pre-error feedback neural network, which belongs to the error back-propagation algorithm [23, 24] It consists of an input layer, an output layer, and several hidden layers, each of which has several nodes, each node representing a neuron, and the upper and lower nodes are connected by weight. In the BP neural network, the differentiable function of sigmoid strong bending type, that is, strict incrementally, can make the output show a better balance between linearity and nonlinearity, so the nonlinear mapping between input and output can be realized. It is suitable for medium- and longterm forecasts. E weight of the connection indicates the degree of interaction between the two interconnected neurons as follows: X1
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