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...

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Bibliographic Details
Published in:	Water (Basel) Vol. 10; no. 11; p. 1543
Main Authors:	Hu, Caihong, Wu, Qiang, Li, Hui, Jian, Shengqi, Li, Nan, Lou, Zhengzheng
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 30.10.2018
Subjects:	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
Online Access:	Get full text
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