A review of hybrid deep learning applications for streamflow forecasting

•Basic factors affecting deep learning models for streamflow forecasting.•Hybrid deep learning models for streamflow forecasting.•Input and hyperparameter optimization of deep learning models.•Limitation and prospects in streamflow forecasting. Deep learning has emerged as a powerful tool for stream...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2023-10, Vol.625, p.130141, Article 130141
Hauptverfasser:	Ng, K.W., Huang, Y.F., Koo, C.H., Chong, K.L., El-Shafie, Ahmed, Najah Ahmed, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms decision making hybridization Optimization Prediction River Runoff stream flow Supervised learning water management
Online-Zugang:	Volltext
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