Study on the Coupling Coordination between Education and Industrial Structure in Fujian Province Based on the BP Neural Network

The synergistic development of education and industry is crucial for enhancing the economic strength and domestic competitiveness of Fujian Province. Utilizing sample data from 2013 to 2022, this study employs a BP neural network to establish a weight model and predicts the coupling degree of education and industry in Fujian Province for the years 2020 to 2022. The results indicate that the BP neural network exhibits more accurate predictive capabilities compared to traditional regression models. In the coming years, the predictions suggest that the scale of education in Fujian Province will continue to expand, but the level of collaborative development will improve only slowly. Therefore, it is recommended to strengthen the forecasting and planning of education to meet industrial demands and promote supply-side reforms in the education sector of Fujian Province.