Open AccessResearch on the optimization strategy of college sports placement based on deep neural network
Author(s) -
Ning Miao,
Ying Xu Wang,
Shu Hua Zhang,
Xiao Zhu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1792/1/012084
Subject(s) - physical education , test (biology) , spare time , class (philosophy) , mathematics education , spare part , process (computing) , computer science , artificial neural network , medical education , psychology , artificial intelligence , engineering , marketing , medicine , business , operations management , paleontology , biology , operating system
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.