Research on Port Logistics Demand Forecast Based on GRA-WOA-BP Neural Network

Author:

Pan Zhikang,Chen Ning

Publisher

Springer Nature Switzerland

Reference12 articles.

1. Meng, C., Wanshan, Z., Jing, P.: Research on the relationship between port logistics and regional economy in Xiamen city based on gray relational analysis. In: Proceedings of 2018 5th International Conference on Education Reform and Management Innovation (ERMI 2018), pp. 92–98 (2018)

2. Xiao, R., Pan, L., Xiao, H., et al.: Research of intelligent logistics and high-quality economy development for Yangtze river cold chain shipping based on carbon neutrality. J. Mar. Sci. Eng. 10(8), 1029 (2022)

3. Ji, W.: Research on Shanghai port logistics based on VAR model. IOP Conf. Ser. Earth Env. Sci. 791(1), 012042 (2021)

4. Jinyu, X., Mo, L.: Carbon emission assessment of port integrated logistics in low-carbon environment. Int. J. Front. Sociol. 3(18), 55–60 (2021)

5. Zha, A., Tu, J.: Research on the prediction of port economic synergy development trend based on deep neural networks. J. Math. 2022, 1–9 (2022)

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