Evaluation of Transformer model and Self-Attention mechanism in the Yangtze River basin runoff prediction

Evaluation of Transformer model and Self-Attention mechanism in the Yangtze River basin runoff prediction

Study region: In the Yangtze River basin of China. Study focus: We applied a recently popular deep learning (DL) algorithm, Transformer (TSF), and two commonly used DL methods, Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), to evaluate the performance of TSF in predicting runoff in th...

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Bibliographic Details
Main Authors: Xikun Wei, Guojie Wang, Britta Schmalz, Daniel Fiifi Tawia Hagan, Zheng Duan
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Runoff prediction
Transformer
LSTM
GRU
Self-Attention
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823001258

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http://www.sciencedirect.com/science/article/pii/S2214581823001258

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