Prediction and Analysis of Higher Vocational Physical Education Achievements Based on Support Vector Machine

DOI

10.2991/978-94-6463-172-2_220How to use a DOI?

Keywords

support vector machine university sports score particle swarm optimization algorithm score prediction

Abstract

In recent years, people’s material life has been greatly improved. However, the physical quality of college students has declined to varying degrees. The results of physical education curriculum reflect the physical fitness of students, and accurately predict the results of physical education curriculum, which is conducive to the scientific and reasonable opening of college physical education curriculum to improve the physical fitness of students. In this paper, machine learning algorithm is used to predict the performance of college students’ physical education courses. The prediction model uses support vector machine, and particle swarm optimization algorithm is used to optimize the parameters of support vector machine. The method is applied to the actual data, and the results show that the method has high prediction accuracy and good universality for college students’ scores of multiple physical education courses. Teachers can use this method to improve teaching methods and improve teaching quality; The teaching management department can use this method to reasonably plan the physical education curriculum in colleges and universities.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaoyan Hu
PY  - 2023
DA  - 2023/06/30
TI  - Prediction and Analysis of Higher Vocational Physical Education Achievements Based on Support Vector Machine
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1983
EP  - 1989
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_220
DO  - 10.2991/978-94-6463-172-2_220
ID  - Hu2023
ER  -