Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

Sports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of...

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Main Author: Fuxing He
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6622367
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author Fuxing He
author_facet Fuxing He
author_sort Fuxing He
collection DOAJ
description Sports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. This paper analyzes the source of sports risk and the main injury factors, designs the sports injury estimation model based on big data analysis, establishes a new assessment model based on RBF neural network, and builds the big data network environment required for the model operation by improving the topological structure, combining big data and deep neural network. In the built environment, the risk assessment of sports injury can be completed by determining the risk source and identifying the risk factors. The realization of the model can be constrained by the uncertainty conditions so that it can achieve a good operation state.
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spelling doaj-art-9ba5cee769a04d32ac313b1f2dd147d02025-02-03T06:43:46ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66223676622367Early Warning Model of Sports Injury Based on RBF Neural Network AlgorithmFuxing He0School of Physical Education, Qiongtai Normal University, Hainan, Haikou 571100, ChinaSports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. This paper analyzes the source of sports risk and the main injury factors, designs the sports injury estimation model based on big data analysis, establishes a new assessment model based on RBF neural network, and builds the big data network environment required for the model operation by improving the topological structure, combining big data and deep neural network. In the built environment, the risk assessment of sports injury can be completed by determining the risk source and identifying the risk factors. The realization of the model can be constrained by the uncertainty conditions so that it can achieve a good operation state.http://dx.doi.org/10.1155/2021/6622367
spellingShingle Fuxing He
Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
Complexity
title Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
title_full Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
title_fullStr Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
title_full_unstemmed Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
title_short Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm
title_sort early warning model of sports injury based on rbf neural network algorithm
url http://dx.doi.org/10.1155/2021/6622367
work_keys_str_mv AT fuxinghe earlywarningmodelofsportsinjurybasedonrbfneuralnetworkalgorithm