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Wenchuan Wang
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Journal Articles

A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method

Open Access
Jun Wang, Wenchuan Wang, Xiao-xue Hu, Miao Gu, Yang-hao Hong ...
Journal of Hydroinformatics (2024) 26 (6): 1425–1453.
DOI: https://doi.org/10.2166/hydro.2024.038
Date Online: 16 May 2024
View articletitled, A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method View PDF for article titled, A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Includes: Supplementary data
Journal Articles

Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition

Open Access
Dong-mei Xu, An-dong Liao, Wenchuan Wang, Wei-can Tian, Hong-fei Zang
Journal of Hydroinformatics (2024) 26 (1): 255–283.
DOI: https://doi.org/10.2166/hydro.2023.216
Date Online: 11 December 2023
View articletitled, Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition View PDF for article titled, Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
Journal Articles

A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression

Open Access
Yi-yang Wang, Wenchuan Wang, Kwok-wing Chau, Dong-mei Xu, Hong-fei Zang ...
Journal of Hydroinformatics (2023) 25 (6): 2561–2588.
DOI: https://doi.org/10.2166/hydro.2023.160
Date Online: 30 October 2023
View articletitled, A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression View PDF for article titled, A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression