Forecasting shipping index using CEEMD-PSO-BiLSTM model

Shipping indices are extremely volatile, non-stationary, unstructured and non-linear, and more difficult to forecast than other common financial time series. Based on the idea of "decomposition-reconstruction-integration", this article puts forward a combined forecasting model CEEMD-PSO-Bi...

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Detalles Bibliográficos
Autores principales: Li, Chengang, Wang, Xuan, Hu, Yongxiang, Yan, Ying, Jin, Han, Shang, Guofei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894482/
https://www.ncbi.nlm.nih.gov/pubmed/36730327
http://dx.doi.org/10.1371/journal.pone.0280504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894482/
https://www.ncbi.nlm.nih.gov/pubmed/36730327
http://dx.doi.org/10.1371/journal.pone.0280504

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