BP-based Evaluation Paradigm of Automobile Marketing Professional Information Teaching Practise

This topic builds a BP based practise teaching evaluation index system of automobile marketing major based on the characteristics of automobile marketing major in light of the lack of comprehensive and efficient information-based evaluation methods in the practise teaching of automobile marketing major. In this research, a novel adaptive variation genetic algorithm (AGA) is used to address the issue that it is challenging to identify the best solution during the optimisation phase of traditional BP. Additionally, this research uses the entropy weight approach rather than BP assessment since it is too subjective. The construction of an intelligent assessment model for teaching automotive marketing practise is based on the EM-AGA-BP. The method's excellent accuracy-up to 96.42%-has been shown. The EM-AGA-BP model's average accuracy, Precision, F1, and AUC are 0.952, 0.965, 0.927, and 0.974, respectively. The assessment model developed in this study may significantly raise the accuracy of internship evaluations in automobile marketing. More excellent marketing skills may be offered for the automotive business via the study of this topic.