Abstract

College students are busy with their schoolwork and activities. They spend most of their spare time playing games and watching TV dramas and have little time to do physical exercise. Therefore, it is difficult for many college students to reach the standard in the physical education test, and the bodyside data is not well used. This paper uses the physical test data provided by the Physical Education Department of Zhujiang College of Tianjin University of Finance and Economics to classify and process the physical test data of colleges and universities DNN. A scientific physical education class allocation strategy is proposed to optimize the existing college physical education class allocation.

Details

Title
Research on the optimization strategy of college sports placement based on deep neural network
Author
Miao, Ning 1 ; Ying Xu Wang 2 ; Zhang, Shu Hua 2 ; Xiao Yong Zhu 3 

 School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 301800; Zhujiang College of Tianjin University of Finance and Economics Tianjin 301830 
 School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 301800 
 Zhujiang College of Tianjin University of Finance and Economics Tianjin 301830 
Publication year
2021
Publication date
Feb 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2512979825
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.