Quantitative assessment of the training effect of taijiquan on adolescents’ physical coordination based on particle swarm optimization algorithm

Abstract

Taijiquan is a kind of sport that can be used as a national fitness program, and its effect on the training effect of adolescent physical coordination has important research value. In this paper, particle swarm optimization algorithm is applied to the optimization of taijiquan training program, and independent samples test and analysis of variance (ANOVA) are used to investigate the quantitative impact of taijiquan training on adolescents’ physical coordination. The results show that the particle swarm optimization algorithm can effectively improve the effect of taijiquan training, and the algorithm convergence and other properties have obvious superiority compared with other algorithms. At the same time, after the experiment, all the physical coordination test indexes of the experimental group were significantly improved compared with the pre-test and the control group, which explains the important role of taijiquan training in the physical coordination training of adolescents.

Keywords: particle swarm optimization algorithm; independent sample test; analysis of variance; physical coordination