Research on employment quality of Wuhan Business University based on AHP and BP neural network

Abstract

In order to further improve the linkage mechanism between employment and enrollment plan, talent training, and specialty adjustment, this paper conducts a quantitative analysis and deepening of the Report on the Employment Quality of Undergraduate Graduates of Wuhan Business University. This paper uses the Analytic Hierarchy Process to build the evaluation index system of the employment quality of college graduates, focusing on the evaluation criteria, evaluation indicators and calculation methods to calculate the index weight. At the same time, we train the model of BP Neural Network method, which improved the accuracy of the model, and obtained a more comprehensive, objective, independent and measurable employment quality monitoring and evaluation results.