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

Quanli Wang

doi:10.1117/12.2674659

23 May 2023 Research on employment quality of Wuhan Business University based on AHP and BP neural network

Quanli Wang

Author Affiliations +

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126042B (2023) https://doi.org/10.1117/12.2674659
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

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.

Citation Download Citation

Quanli Wang "Research on employment quality of Wuhan Business University based on AHP and BP neural network", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126042B (23 May 2023); https://doi.org/10.1117/12.2674659

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