Abstract
Abstract 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.
Highlights
At present, the methods for predicting college sports performance mainly include time series models, empirical models based on the principles of econometrics, and neural network models
3.1 genetic algorithm (GA) optimises the general description of college sports performance evaluation
Prediction is made based on the multivariate nonlinear model of college sports performance, ensuring high prediction accuracy and strong objectivity
Summary
The methods for predicting college sports performance mainly include time series models, empirical models based on the principles of econometrics, and neural network models. The regression analysis model based on the principles of econometrics can comprehensively analyse the influencing factors of college sports performance and provide a basis for quantitative prediction of college sports performance, and it is the most preferred by the majority of scholars. Liu et al Applied Mathematics and Nonlinear Sciences 2021(aop) 1–9 apply it to all schools, and the predictive results are often unsatisfactory [1]. To this end, this research proposes a prediction method that combines genetic algorithm (GA), college sports performance evaluation and regression analysis. Based on GA, it dynamically optimises college sports performance and realises supervised evaluation On this basis, a predictive model of college sports performance is established based on regression analysis. The calculation results show that the model is a high-precision prediction method
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