Research on Sports Injury Information Prediction Model Based on Neural Network Technology

Abstract

Due to its powerful data processing capabilities and data mining capabilities, machine learning has been widely used in various fields of research and has achieved breakthroughs. The use of machine learning methods to study sports injuries has great potential. BP neural network technology is one of the important contents of machine learning. Based on the basic model of neural network, this paper designs the training process of BP neural network and builds the sports injury prediction model based on neural network technology, including the input and output of neural network, and the layer selection and parameter selection, and strive to get the best training results through the least number of iterations. The research results are used to adjust the training intensity, strengthen the athlete's self-protection awareness, rationally plan training methods, avoid sports injury, and ensure the effective development of sports training.