Details

Autor(en) / Beteiligte

• Liu, Xin
• Khadidos, Alaa Omar
• Abo Keir, Mohammed Yousuf

Titel

Research on predictive control of students’ performance in PE classes based on the mathematical model of multiple linear regression equation

Ist Teil von

• Applied mathematics and nonlinear sciences, 2022-07, Vol.7 (2), p.297-306

Ort / Verlag

Sciendo

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• 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.