A novel hybrid approach to Baltic Dry Index forecasting based on a combined dynamic fluctuation network and artificial intelligence method

Zhang, X.; Chen, M. Y.; Wang, M. G.; Ge, Y. E.; Stanley, H. E.

doi:10.1016/j.amc.2019.05.043

A novel hybrid approach to Baltic Dry Index forecasting based on a combined dynamic fluctuation network and artificial intelligence method

Journal Article · 01 November 2019 · Applied Mathematics and Computation

DOI:https://doi.org/10.1016/j.amc.2019.05.043· OSTI ID:1682452

; Chen, M. Y.; Wang, M. G.; Ge, Y. E.; Stanley, H. E.

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View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

OSTI ID:: 1682452

Journal Information:: Applied Mathematics and Computation, Journal Name: Applied Mathematics and Computation Journal Issue: C Vol. 361; ISSN 0096-3003

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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