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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Vydané v:	Journal of hydrology (Amsterdam) Ročník 617; s. 128995
Hlavní autori:	Wang, Qingjie, Yue, Chunfang, Li, Xiaoqing, Liao, Pan, Li, Xiaoyao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2023
Predmet:	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
On-line prístup:	Získať plný text
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