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Analysis of the Influence of Outward Bound Training Based on Data Analysis in College Physical Training.
Wang, Diliang; Huang, Guoyang.
Afiliación
  • Wang D; Guilin Institute of Information Technology, Guilin 541004, Guangxi, China.
  • Huang G; Guilin Institute of Information Technology, Guilin 541004, Guangxi, China.
Comput Intell Neurosci ; 2022: 6488562, 2022.
Article en En | MEDLINE | ID: mdl-36193184
ABSTRACT
The competition for talents in the modern society is constantly intensifying. College students not only have good physical and psychological quality but also bear hardships and stand hard work and adapt to the fast-paced working environment in order to adapt to the development of the times. With the advent of the era of big data, advanced technology has been applied to physical exercise and development, providing opportunities and challenges for the development of sports. Therefore, this paper focuses on the impact of expanding training on college sports training through extensive surveys on college students' outward bound training. The results show that data are the key data of analysis, which can be used to analyze college students' physical functions and other indicators scientifically and effectively. Universities should develop appropriate outward bound training according to the characteristics of the students themselves. The project helps to improve the sports performance and psychological and physical quality of college students. We hope to provide theoretical reference for experts and scholars who study the development of college sports.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Deportes / Análisis de Datos Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Deportes / Análisis de Datos Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
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