A deep neural network for the prediction of the college students' physical examination scores

Xiaoyan Hu

doi:10.1117/12.3049627

8 November 2024 A deep neural network for the prediction of the college students' physical examination scores

Xiaoyan Hu

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134161R (2024) https://doi.org/10.1117/12.3049627
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

The physical fitness test scores of college students are an important means of understanding their physical health. Accurately and effectively modeling, predicting, and analyzing physical fitness test scores can help grasp the changing trends of college students' physical fitness, and thus better arrange their physical exercise. In this article, deep neural networks are applied to predict and analyze the physical fitness and health test data of college students in a certain vocational college in 2023. The experimental results show that compared with methods such as Radial Basis Function Neural Network, BP neural network, Softmax neural network, this prediction model has better prediction accuracy and related performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyan Hu "A deep neural network for the prediction of the college students' physical examination scores", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134161R (8 November 2024); https://doi.org/10.1117/12.3049627

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