Modeling and forecasting of students' athletic achievements using neural networks

the presented research material "Modeling and forecasting of students' athletic achievements using neural networks" examines the application of artificial intelligence (AI) and neural networks in the field of physical education. The directions of development of a highly specialized neural network for universities capable of working with various input data that describe human activity are considered. The introduction of modern technologies into the educational process in order to increase its effectiveness is relevant. The paper discusses the prospects for the introduction of AI for processing data on the condition of those engaged in physical education and providing recommendations on nutrition and physical activity. The paper also describes various options for using neural networks to analyze a student's physical activity. In addition, the presented material discusses solutions and cases for the introduction of AI in the field of physical education, as well as an analysis of the potential effectiveness of each solution. The purpose of the study is to analyze the options for the implementation of neural networks in the educational and training process at the university. The presented material can be used in the organization of the educational and training process in physical culture in educational institutions of various levels and is of practical importance.

artificial intelligence, neural network, motor activity, activity, data processing