A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports
Crossref DOI link: https://doi.org/10.1057/s41278-024-00284-2
Published Online: 2024-02-16
Published Print: 2024-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Di
Li, Xinyuan
Wan, Chengpeng
Man, Jie
Text and Data Mining valid from 2024-02-16
Version of Record valid from 2024-02-16
Article History
Accepted: 12 January 2024
First Online: 16 February 2024