Deep learning-based exchange rate prediction during the COVID-19 pandemic

This study proposes an ensemble deep learning approach that integrates Bagging Ridge (BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks used as base regressors to become a Bi-LSTM BR approach. Bi-LSTM BR was used to predict the exchange rates of 21 currencies agains...

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Detalles Bibliográficos
Autores principales: Abedin, Mohammad Zoynul, Moon, Mahmudul Hasan, Hassan, M. Kabir, Hajek, Petr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622122/
https://www.ncbi.nlm.nih.gov/pubmed/34848909
http://dx.doi.org/10.1007/s10479-021-04420-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622122/
https://www.ncbi.nlm.nih.gov/pubmed/34848909
http://dx.doi.org/10.1007/s10479-021-04420-6

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