Construction of Sports Management System Based on Multi-Layer Neural Network Model-Reference-Cited by-同舟云学术

Construction of Sports Management System Based on Multi-Layer Neural Network Model

Published:2023-06-06 Issue:2 Volume:8 Page:1809-1818
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Wen Jiaqi¹,Liang Dong²

Affiliation:

1. 1 School of Management , China University of Geosciences , Wuhan , , China

2. 2 Guangzhou Xinhua University , Machong Town, Dongguan, Guangdong , , China

Abstract

Abstract Sports administrators must do an excellent job of preparation before the game. The goal is to keep the game safe. This paper uses the BP neural network to establish the danger warning system for sports competitions. The aim is to reduce the probability of dangerous incidents in sports competitions. Then this paper determines the relevant evaluation indexes of the risk warning mode of sports competition activities. Finally, this paper makes an empirical study of the risk warning model of sports events. The results show that the risk prediction of sports matches based on the BP neural network is accurate.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.1.00284

Reference12 articles.

1. Li, T., Sun, J., & Wang, L. (2021). An intelligent optimization method of motion management system based on BP neural network. Neural Computing and Applications, 33(2), 707-722.

2. Yuan, C., Yang, Y., & Liu, Y. (2021). Sports decision-making model based on data mining and neural network. Neural Computing and Applications, 33(9), 3911-3924.

3. Xiao-wei, X. (2020). Study on the intelligent system of sports culture centers by combining machine learning with big data. Personal and Ubiquitous Computing, 24(1), 151-163.

4. Li, H. (2020). Analysis on the construction of sports match prediction model using neural network. Soft Computing, 24(11), 8343-8353.

5. Song, H., & Montenegro-Marin, C. E. (2021). Secure prediction and assessment of sports injuries using deep learning based convolutional neural network. Journal of Ambient Intelligence and Humanized Computing, 12(3), 3399-3410.