Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

July 5, 2024


Pages


DOI

Article

Relationship between athlete performance and training load in martial arts sparring: based on a gray rule model

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Authors

Zhongsheng Fu Affiliation:
Department of Physical & Military Education, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China.


Abstract

Wushu sparring is an important part of Chinese multi-sports, and the athletic performance of wushu sparring athletes has a crucial role in Chinese wushu sparring performance. In this paper, the relationship between athletes’ performance and the training load of wushu sparring athletes was investigated using gray correlation analysis, with wushu sparring athletes as the research object. According to the relevant standards to establish and determine the objective indicators to measure the performance of wushu sparring athletes, at the same time, the group of athletes with different intensity training experiments, the use of gray correlation analysis based on the data obtained from the training to calculate the gray correlation between the athlete’s performance and their training load, and as a basis for the establishment of the gray rule model through the GM (1, 1) algorithm. The relationship between training load and athlete performance was evaluated to correlate up to 0.975, and the algorithm’s model was 88% accurate in predicting athlete performance based on training intensity. The study of the relationship between training load and athletes’ performance can aid wushu sparring athletes in rationally scheduling their training intensity, which is crucial for the development of Chinese wushu sparring.


Keywords

martial arts, training load, gray rule model, correlation coefficient, 97P20


Citation

Fu, Z. (2024). Relationship between athlete performance and training load in martial arts sparring: Based on a gray rule model. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1596

Published by: Engineering Journals

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