Research Article
Research on the Application of Information Technology in Physical Education Teaching in Colleges and Universities
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@INPROCEEDINGS{10.1007/978-3-030-87900-6_22, author={Jun Yuan}, title={Research on the Application of Information Technology in Physical Education Teaching in Colleges and Universities}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2021}, month={10}, keywords={College students Physical fitness BP neural network MATLAB program}, doi={10.1007/978-3-030-87900-6_22} }- Jun Yuan
Year: 2021
Research on the Application of Information Technology in Physical Education Teaching in Colleges and Universities
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-030-87900-6_22
Abstract
With the development of the times, most of the students do not pay attention to physical exercise, which leads to their failure in the physical test, and the school does not make good use of the physical test data. Therefore, this paper uses the tensor flow platform, uses the deep neural network classification method, and uses SPSS pairing analysis to get the problems existing in College Physical Education Teaching in China, so that the school can accurately grasp the physical condition of students, so as to make the physical education teaching plan. The experiment shows that DNN can not only improve the accuracy and reduce the error, but also put forward the scientific class division strategy.
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