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

Taijiquan is a kind of sport that can be used as a national itness 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 signi icantly 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.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-03-30
DOI
https://doi.org/10.61091/jcmcc127a-492
Primary Topic
Sports and Physical Education Research
Type
article
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article

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

Journal of Combinatorial Mathematics and Combinatorial Computing
Sports and Physical Education Research
article

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

article en

Abstract

Taijiquan is a kind of sport that can be used as a national itness 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 signi icantly 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.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Openalex Percentile: Top 87%
Sports and Physical Education Research
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