Shipping economic forecasting : recent developments, applications, and future directions
Jixian Mo, Ruobin Gao, Kum Fai Yuen and Ponnuthurai Nagaratnam Suganthan
| Year of publication: |
2025
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|---|---|
| Authors: | Mo, Jixian ; Gao, Ruobin ; Yuen, Kum Fai ; Suganthan, Ponnuthurai Nagaratnam |
| Published in: |
Transport reviews : a transnational transdisciplinary journal. - London [u.a.] : Taylor & Francis, ISSN 1464-5327, ZDB-ID 1485107-6. - Vol. 45.2025, 6, p. 897-923
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| Subject: | deep learning | ensemble methods | forecasting | machine learning | Shipping economics | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Schifffahrt | Shipping |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/01441647.2025.2519486 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015547214