Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

Considering the high random and non-static property of the rainfall-runoff process, lots of models are being developed in order to learn about such a complex phenomenon. Recently, Machine learning techniques such as the Artificial Neural Network (ANN) and other networks have been extensively used by...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Water (Basel) Ročník 10; číslo 11; s. 1543
Hlavní autori:	Hu, Caihong, Wu, Qiang, Li, Hui, Jian, Shengqi, Li, Nan, Lou, Zhengzheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 30.10.2018
Predmet:	Algorithms Artificial intelligence Datasets Deep learning Drought Floods hydrologic models Hydrology Machine learning Neural networks Precipitation prediction Rain Regression analysis rivers Runoff Simulation time series analysis watersheds China
ISSN:	2073-4441, 2073-4441
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!