Predicting of the physique performance and accuracy of college students based on multiple linear regression and BP neural network
A multiple linear regression model and a BP neural network model are established to predict the physique performance of college students and analyze its accuracy based on the physical fitness test data of college students. The results of the study show that the average error of the multiple linear r...
| Published in: | ACM International Conference Proceeding Series |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Association for Computing Machinery
2023
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195410881&doi=10.1145%2f3660395.3660487&partnerID=40&md5=1262147f6c14ce11a14b9c483d72e05a |
| Summary: | A multiple linear regression model and a BP neural network model are established to predict the physique performance of college students and analyze its accuracy based on the physical fitness test data of college students. The results of the study show that the average error of the multiple linear regression model and the BP neural network model for predicting the physique performance of college students are 1.23 and 0.51 points, respectively, and the average error percentage is 1.84% and 0.74%, respectively. Both models can effectively predict the physique performance of college students, but the BP neural network model has higher prediction accuracy than the multiple linear regression model. © 2023 Copyright held by the owner/author(s). |
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| ISSN: | |
| DOI: | 10.1145/3660395.3660487 |