Streamflow Prediction Using Deep Learning Neural Network: Case Study of Yangtze River

The most important motivation for streamflow forecasts is flood prediction and longtime continuous prediction in hydrological research. As for many traditional statistical models, forecasting flood peak discharge is nearly impossible. They can only get acceptable results in normal year. On the other...

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Hlavní autoři:	Darong Liu, Wenchao Jiang, Lin Mu, Si Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2020-01-01
Edice:	IEEE Access
Témata:	Yangtze River hydrological time series forecasting streamflow prediction empirical mode decomposition deep learning
On-line přístup:	https://ieeexplore.ieee.org/document/9091176/
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