Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy

Published 2019 View Full Article

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Title
Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy
Authors
Keywords
Streamflow prediction, Data-driven model, Extreme learning machine, Singular spectrum analysis, Empirical mode decomposition
Journal
JOURNAL OF HYDROLOGY
Volume 573, Issue -, Pages 733-745
Publisher
Elsevier BV
Online
2019-04-01
DOI
10.1016/j.jhydrol.2019.03.101

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