Application of BP Neural Network Algorithm in Campus Sports and Health Management
Dayang Ming · 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture · 2021
Sports are beneficial to people's physical and mental health, and improving people's physical and mental health is one of the hot issues that sports researchers and human society generally pay attention to. The BP neural network algorithm is used in the evaluation research of sports and health management, which theoretically enriches and expands the use and evaluation scope of sports and health evaluation. In the research method, the neural network BP is introduced into the sports health evaluation. In this process, it has certain theoretical guiding significance for the complete application of the neural network method BP and other research issues. The purpose of this article is to study the application of BP neural network algorithm in campus sports and health management. This paper uses the improved Hu unique moments to describe human motion behavior. In order to describe the characteristics of human motion behavior more accurately, this paper selects 4 Hu moments to represent behavior characteristics. This work proposes a BP neural network structure optimized by genetic algorithm to determine human motion behavior. This work uses BP neural network to evaluate health management. Experimental studies have shown that the GA-BP neural network algorithm used in this article has a significantly higher recognition rate of 20%-30% than the recognition rate of the BP neural network for the five human gaits. A large number of simulation experiments have also verified the feasibility of this method.