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

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Ruke Cheng, Ruobin Gao, Kum Fai Yuen

Published: 2024, Last Modified: 06 Aug 2024Eng. Appl. Artif. Intell. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel ensemble deep RVFL to anticipate ship order book dynamics is proposed.•We propose a parsimonious embedding algorithm to optimize temporal patterns.•The direct links ablation study is conducted for comparison.