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Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation
by
Khadidos, Alaa Omar
, Liu, Xin
, Abo Keir, Mohammed Yousuf
in
34A34
/ college sports
/ college sports performance
/ prediction
/ regression analysis
2022
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Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation
by
Khadidos, Alaa Omar
, Liu, Xin
, Abo Keir, Mohammed Yousuf
in
34A34
/ college sports
/ college sports performance
/ prediction
/ regression analysis
2022
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Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation
Journal Article
Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation
2022
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Overview
Aiming to solve the problems in the traditional multiple regression analysis model for predicting college sports performance based on the principles of econometrics, a predictive model that combines genetic algorithm (GA), college sports performance evaluation and regression analysis is proposed. GA is used to conduct dynamic and supervised optimisation evaluation of college sports performance; on this basis, combined with regression analysis and GA's global optimisation capabilities, a complex nonlinear relationship between student sports performance and influencing factors is established; the student's performance is calculated based on the college sports performance. The results show that the method has high prediction accuracy and good stability.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subject
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