Ensemble‐Based Neural Network Modeling for Hydrologic Forecasts: Addressing Uncertainty in the Model Structure and Input Variable Selection
Author:
Affiliation:
1. School of Civil Engineering and Environmental Science University of Oklahoma Norman OK USA
2. National Institute of Meteorological Science Seogwipo South Korea
3. School of Civil and Environmental Engineering Yonsei University Seoul South Korea
Funder
National Research Foundation of Korea
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026262
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5. Application of artificial neural network ensembles in probabilistic hydrological forecasting;Araghinejad S.;Journal of Hydrology,2011
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