A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties-Reference-Cited by-同舟云学术

A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties

Published:2023-12-19 Issue: Volume: Page:1-19
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Poursaeid Mojtaba¹²^ORCID,Poursaeed Amir Hossein³

Affiliation:

1. Department of Civil Engineering, Payame Noor University, Lorestan, Iran

2. Deputy of Bureau of Technical and Executive, MPO: Plan and Budget Organization, Lorestan, Iran

3. Department of Power Electrical Engineering, Lorestan University, Lorestan, Iran

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2023.2293755

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4. A novel process monitoring approach based on feature points distance dynamic autoencoder;Cheng F.;Computer Aided Chemical Engineering,2019

5. A VMD-MSMA-LSTM-ARIMA model for precipitation prediction

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