Prediction of sports achievements based on time series analysis

Xiaoyan Hu

doi:10.1117/12.3050728

27 September 2024 Prediction of sports achievements based on time series analysis

Xiaoyan Hu

Proceedings Volume 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024); 132810C (2024) https://doi.org/10.1117/12.3050728
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning, 2024, Zhengzhou, China

Abstract

There are many factors related to sports performance, which brings many difficulties to the prediction of sports performance. To improve the prediction effect of sports performance, we propose a sports performance prediction method based on time series analysis. This method selects the singular value decomposition filtering algorithm to decompose the original data sequence into two parts: random components and trend components; The GM (1,1) model and SVM model were used to predict the random and trend components respectively, and the predicted results of the two models were fused to obtain the final sports performance prediction results. The practical application results show that our proposed method improves the accuracy of sports performance prediction and significantly reduces the error of sports performance prediction, which has certain advantages.

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

Citation Download Citation

Xiaoyan Hu "Prediction of sports achievements based on time series analysis", Proc. SPIE 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024), 132810C (27 September 2024); https://doi.org/10.1117/12.3050728

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