Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting-Reference-Cited by-同舟云学术

Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

Published:2021-07 Issue: Volume:598 Page:126196
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Barzegar Rahim,Aalami Mohammad Taghi,Adamowski Jan

Funder

University of Tabriz

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference80 articles.

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4. Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories;Barzegar;Canada. Journal of Hydrology,2019

5. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model;Barzegar;Stochastic Environmental Research and Risk Assessment,2020

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