A novel stacked long short-term memory approach of deep learning for streamflow simulation

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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Bibliographic Details
Main Authors: Mirzaei, Majid, Yu, Haoxuan, Dehghani, Adnan, Galavi, Hadi, Shokri, Vahid, Mohsenzadeh Karimi, Sahar, Sookhak, Mehdi
Format: Article
Published: MDPI 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/28564/
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Institution: Universiti Malaya

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http://eprints.um.edu.my/28564/

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