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

Efficient forecasting of ship order books holds immense significance in the maritime industry, enabling companies to optimize their operations, allocate resources effectively, and make informed decisions. However, volatile characteristics within historical order books pose challenges in achieving re...

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Bibliographic Details
Main Authors: Cheng, Ruke, Gao, Ruobin, Yuen, Kum Fai
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175804
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Institution: Nanyang Technological University
Language: English
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