Enhancing robustness of monthly streamflow forecasting model using embedded-feature selection algorithm based on improved gray wolf optimizer

•Model hyperparameters and input variables (features) affect the forecasting results.•An embedded feature selection technique and their SVM-IGWO realization (EFS-SVMIGWO) is developed for streamflow prediction.•The proposed improved Grey Wolf Optimizer (IGWO) displays superior performance on feature...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 617; S. 128995
Hauptverfasser:	Wang, Qingjie, Yue, Chunfang, Li, Xiaoqing, Liao, Pan, Li, Xiaoyao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2023
Schlagworte:	China Feature selection Hydrologic time series Improved gray wolf algorithm Passeriformes prediction runoff stream flow Streamflow prediction Support vector machine support vector machines time series analysis China Streamflow prediction Feature selection Support vector machine Hydrologic time series Improved gray wolf algorithm
ISSN:	0022-1694, 1879-2707
Online-Zugang:	Volltext
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