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

Poursaeid, Mojtaba; Poursaeed, Amir Hossein

doi:10.1080/02626667.2023.2293755

Hydrological Sciences Journal

2024

DOI: 10.1080/02626667.2023.2293755

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

Mojtaba Poursaeid,

Amir Hossein Poursaeed

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Cited by 4 publications

References 32 publications

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Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches

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Water Resour Manage

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Optimizing transient monitoring of river streamflow by a highly predictive model utilizing Ensemble learning models and Multi algorithms

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2025

Journal of Hydrology

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Water quality fluctuations prediction and Debi estimation based on stochastic optimized weighted ensemble learning machine

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

Cited by 4 publications

References 32 publications

Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches

Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches

Optimizing transient monitoring of river streamflow by a highly predictive model utilizing Ensemble learning models and Multi algorithms

Water quality fluctuations prediction and Debi estimation based on stochastic optimized weighted ensemble learning machine

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