A novel stacked long short-term memory approach of deep learning for streamflow simulation
Rainfall-Runoff simulation is the backbone of all hydrological and climate change studies. This study proposes a novel stochastic model for daily rainfall-runoff simulation called Stacked Long Short-Term Memory (SLSTM) relying on machine learning technology. The SLSTM model utilizes only the rainfal...
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Main Authors: | Mirzaei, Majid, Yu, Haoxuan, Dehghani, Adnan, Galavi, Hadi, Shokri, Vahid, Mohsenzadeh Karimi, Sahar, Sookhak, Mehdi |
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Format: | Article |
Published: |
MDPI
2021
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Subjects: | |
Online Access: | http://eprints.um.edu.my/28564/ |
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