Ship order book forecasting by an ensemble deep parsimonious random vector functional link network-Reference-Cited by-同舟云学术

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Ship order book forecasting by an ensemble deep parsimonious random vector functional link network

Published:2024-07 Issue: Volume:133 Page:108139
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Cheng Ruke^ORCID,Gao Ruobin^ORCID,Yuen Kum Fai

Publisher

Elsevier BV

Reference43 articles.

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2. Broad learning system: An effective and efficient incremental learning system without the need for deep architecture;Chen;IEEE Trans. Neural Netw. Learn. Syst.,2017

3. EV charging load forecasting model mining algorithm based on hybrid intelligence;Deng;Comput. Electr. Eng.,2023

4. Bayesian optimization based dynamic ensemble for time series forecasting;Du;Inform. Sci.,2022

5. Identify determinants of container ship size investment choice;Fan;Marit. Policy Manag.,2023

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