2022
DOI: 10.1155/2022/7491839
|View full text |Cite
|
Sign up to set email alerts
|

The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing

Abstract: Intelligent computing is an environment-adaptive computing method developed by using various mechanisms of physical or natural phenomena. The university stage is a critical period for a person’s physical and mental development. Healthy psychology and physical quality are the basic characteristics of students’ talents and a reliable guarantee for students’ normal study, life, and work. The purpose of this article is to study how to analyze and study the impression of jogging on the physical health of college st… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 19 publications
(23 reference statements)
0
0
0
Order By: Relevance
“…A mixed-effects, multi-logistic, normal model was designed in reference (Gerber & Craig, 2021) to predict player performance and quantify uncertainty. One study (Liang et al, 2022) proposes a jogging data analysis method based on intelligent computing and uses the analysis results to guide the improvement of jogging performance. Another study (Dubbs, 2018) uses a simple machine learning model-logical weighted regularized linear least-squares regression-to predict sports test results.…”
mentioning
confidence: 99%
“…A mixed-effects, multi-logistic, normal model was designed in reference (Gerber & Craig, 2021) to predict player performance and quantify uncertainty. One study (Liang et al, 2022) proposes a jogging data analysis method based on intelligent computing and uses the analysis results to guide the improvement of jogging performance. Another study (Dubbs, 2018) uses a simple machine learning model-logical weighted regularized linear least-squares regression-to predict sports test results.…”
mentioning
confidence: 99%