Analysis of the Application Effect of GA-PCA Model in Higher Education Management
A large amount data of student performance is stored in the educational management system.In order to better explore the potential information in these data and promote the further development of educational management,this article intends to use fuzzy neural networks to predict and analyze student performance,reduce the dimensionality of multidimensional data through principal component analysis,optimize the antecedent parameters of the fuzzy neural network using genetic algorithm,and verify the performance of the model through simulation experiments to improve the overall performance of the model.After the comparative experiment,the improved model show significant performance improvement com-pared with the original model,with significant changes in fitting and prediction accuracy.Therefore,the constructed student learning prediction model has good performance and practical application ability in higher education management.
NETL
NSTL
万方数据
