A deep neural network for the prediction of the college students' physical examination scores

The physical fitness test scores of college students are an important means of understanding their physical health. Accurately and effectively modeling, predicting, and analyzing physical fitness test scores can help grasp the changing trends of college students' physical fitness, and thus better arrange their physical exercise. In this article, deep neural networks are applied to predict and analyze the physical fitness and health test data of college students in a certain vocational college in 2023. The experimental results show that compared with methods such as Radial Basis Function Neural Network, BP neural network, Softmax neural network, this prediction model has better prediction accuracy and related performance.