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

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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Bibliographic Details
Main Authors: Darong Liu, Wenchao Jiang, Lin Mu, Si Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Yangtze River
hydrological time series forecasting
streamflow prediction
empirical mode decomposition
deep learning
Online Access:https://ieeexplore.ieee.org/document/9091176/

Internet

https://ieeexplore.ieee.org/document/9091176/

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