Research on Knee Injuries in College Football Training Based on Artificial Neural Network

摘要

In recent years, the number of students receiving football training in colleges has been increasing, however, during football trainings in most colleges and universities, high-intensity sports are generally performed. Therefore, the athletes often experience knee injury during training, which is harmful to the health of athletes and affects football players' professional skills improvement. This paper analyzes the reasons for the knee injuries of college football trainees, based on the artificial neural network technology and through the method of data analysis. This paper finds that football muscle damage types mainly include the medial collateral ligament, meniscus injury, anterior cruciate ligament, the knee bursitis, enthesopathy of the patellar tendon, and the lateral collateral ligament and Sinding Larsen and chondromalacia patellae these seven types.