Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series

Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series

Streamflow forecasting is a vital task for hydrology and water resources engineering, and the different artificial intelligence (AI) approaches have been employed for this purposes until now. Additionally, the forecasting accuracy and uncertainty estimation are the meaningful assignments that need t...

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Bibliographic Details
Main Authors: Sungwon Kim, Meysam Alizamir, Nam Won Kim, Ozgur Kisi
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sustainability
Subjects:
streamflow forecasting
Bayesian model averaging
multivariate adaptive regression spline
M5 model tree
Kernel extreme learning machines
South Korea
Online Access:https://www.mdpi.com/2071-1050/12/22/9720

Internet

https://www.mdpi.com/2071-1050/12/22/9720

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