Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)

Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)

Although machine learning (ML) techniques are increasingly popular in water resource studies, they are not extensively utilized in modeling snowmelt. In this study, we developed a model based on a deep learning long short-term memory (LSTM) for snowmelt-driven discharge modeling in a Himalayan basin...

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Bibliographic Details
Main Authors: Samit Thapa, Zebin Zhao, Bo Li, Lu Lu, Donglei Fu, Xiaofei Shi, Bo Tang, Hong Qi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
long short-term memory <b>(</b>LSTM)
nonlinear autoregressive exogenous model (NARX)
support vector regression (SVR)
Gaussian process regression (GPR)
Himalaya
snowmelt
Online Access:https://www.mdpi.com/2073-4441/12/6/1734

Internet

https://www.mdpi.com/2073-4441/12/6/1734

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