Human exercise physiology index evaluation method based on a BP neural network

A BP neural network is proposed in this study to measure the physiology index after exercise and to evaluate the human exercise physiology index. Based on the analysis of the traditional BP algorithm, the improved BP algorithm combined with particle swarm algorithm is proposed to improve the BP neural network algorithm. This algorithm is applied to college students' human exercise physiology index through computer simulation and actual extended human exercises. Results show that the accuracy of the improved BP neural network algorithm is high and that the sample requirement is relatively reasonable. The algorithm is highly recognized by the industry.