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

Ruke Cheng, Ruobin Gao, Kum Fai Yuen

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.