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Intelligent Algorithms for Athlete Training in University Physical Education using Big Data Technology

Liu Han, Dong Liang, Jun Zhang, Xiaodong Zhang, Dan Li
Guangzhou Xinhua University, Machong Town, Dongguan Guangdong, China

Abstract: In the computer age, data is the most valuable resource. Based on big data analysis technology, we have constructed an intelligent physical training model for college students to better control their training pace. Simulation technology was also used to study and evaluate the operability of this technology, in the hopes of providing more effective training programs for college students. The research found that in the field of big data analysis, it is important to use intelligent training methods to control and adjust the competition time and intensity of college students. This method not only helps us to formulate and implement competition plans more swiftly but also aids in better understanding and handling a large amount of information, thereby improving the efficiency and quality of competitions. Hence, this method is worth our effort and promotion.

Keywords: Big Data Technology, Athlete Physical Education, Intelligent Training Algorithm, University Sports Intelligent Algorithms for Athlete Training in University Physical Education using Big Data Technology

DOI:https://doi.org/10.6025/jet/2024/15/1/8-13

Full_Text PDF 910 KB Download: 31 times

References:

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