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

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fuxing He
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Data Analysis ◽  
Rbf Neural Network ◽  
Sports Injury ◽  
Big Data Analysis ◽  
Assessment Model ◽  
Estimation Model ◽  
Data Network ◽  
Model Based

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.

scholarly journals Deep learning neural network seismic big-data analysis of earthquake correlations in distinct seismic regions

2021 ◽  
Vol 8 (84) ◽  
Author(s):  
Antonios Konstantaras ◽  
Nikolaos S. Petrakis ◽  
Theofanis Frantzeskakis ◽  
Emmanouil Markoulakis ◽  
Katerina Kabassi ◽  
...  
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Deep Learning ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Seismic Regions ◽  
Deep Learning Neural Network

Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis

2013 ◽  
Vol 10 (12) ◽  
pp. 25-36 ◽  
Author(s):  
Liu Jun ◽  
Li Tingting ◽  
Cheng Gang ◽  
Yu Hua ◽  
Lei Zhenming
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Service Providers ◽  
Big Data Analysis ◽  
Data Network ◽  
Dynamic Patterns

An Unlicensed Taxi Identification Model Based on Big Data Analysis

2016 ◽  
Vol 17 (6) ◽  
pp. 1703-1713 ◽  
Author(s):  
Wei Yuan ◽  
Pan Deng ◽  
Tarik Taleb ◽  
Jiafu Wan ◽  
Chaofan Bi
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Model Based ◽  
Identification Model

scholarly journals Analysis of Sports Injury Estimation Model Based on Mutation Fuzzy Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dong Wang ◽  
Jeng-Sheng Yang
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Sports Injury ◽  
Estimation Model ◽  
Training Time ◽  
Model Based ◽  
Fuzzy Neural ◽  
Gradual Development ◽  
Body Load ◽  
The Cost

In recent years, with the gradual development of sports, the competition between athletes is becoming more and more fierce. The long training time and heavy body load of athletes lead to the increase of the incidence of sports injury, and the evaluation and analysis of athletes’ sports injury need a lot of manpower and material resources. In order to improve the calculation efficiency of sports injury estimation results and save the cost of estimation and analysis, we propose a sports injury estimation model based on the algorithm model of mutation fuzzy neural network. The sports injury model constructed in this paper can not only systematically evaluate and analyze the degree of sports injury of athletes, but also improve the accuracy and efficiency; at the same time, it has universality for the evaluation and analysis of the degree of sports injury. The construction of this model provides the theoretical basis of big data algorithm for the prevention of sports injury and the application of mutation fuzzy neural network in the field of sports.

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