Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network

Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network

Runoff prediction plays an important role in the construction of intelligent hydraulic engineering. Most of the existing deep learning runoff prediction models use recurrent neural networks for single-step prediction of a single time series, which mainly model the temporal features and ignore the ri...

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Bibliographic Details
Main Authors: Shuai Yang, Yueqin Zhang, Zehua Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Water
Subjects:
runoff prediction
graph neural network
attention mechanism
LSTM
temporal and spatial characteristics
Online Access:https://www.mdpi.com/2073-4441/15/13/2463

Internet

https://www.mdpi.com/2073-4441/15/13/2463

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