Application of fuzzy probability factor superposition algorithm in nuclide identification

Li, Linxiang; Huang, Guangwei; Xi, Shanxue; Wang, Zungang; Zhou, Chunzhi

doi:10.1007/s10967-022-08318-w

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…The dynamic adjustment of analysis accuracy is as follows. When analyzing the causes of sports injuries, multiple regression cannot guarantee the overall analysis, which may lead to local analysis and reduce the overall performance of rowing competition [ 12 ]. Therefore, in the process of analyzing the causes of sports injuries, we should try our best to expand the scope of analysis, make in-depth analysis of each prevention and control measure in the optimal measures, and constantly adjust the accuracy.…”

Section: Related Conceptsmentioning

confidence: 99%

[Retracted] Research on Injury Causes and Prevention Effect of College Rowing Athletes Based on Multiple Regression and Residual Algorithm

2022

Journal of Environmental and Public Health

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Rowing competition in colleges and universities is an international competition, and it is also a favorite competition for college students. However, in the course of rowing competition, the stability of athletes’ injuries often occurs, which is difficult to solve effectively. Aiming at the problem that the loss of athletes in rowing competition in colleges and universities cannot be accurately prevented, this paper puts forward a multiple regression prevention effect model and makes a comprehensive analysis combined with complex reasons. Through the integration of multiple regression and residual analysis, we can better find out the influencing factors, aiming at finding out the causes of athletes’ injuries and putting forward corresponding countermeasures. First of all, analyze the causes of loss, establish a framework of injury prevention for college rowers, and the overall diagnosis framework is reasonable. Then, according to the “University Rowing Prevention and Control Standards” divided into various prevention measures, through the comprehensive prevention and control measure mechanism to get the cause of injury, finally, the optimal combination of various control measures forms a control system. The results of MATLAB show that the combination of multiple regression and residual analysis can improve the accuracy of athletes’ injury prevention and treatment, make the accuracy more than 90%, shorten the diagnosis time less than 10 minutes, and meet the requirements of athletes’ injury diagnosis under normal rowing competition.

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Section: Related Conceptsmentioning

confidence: 99%