Prediction of nitrate concentrations using multiple linear regression and radial basis function neural network in the Cheliff River basin, Algeria-Reference-Cited by-同舟云学术

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Prediction of nitrate concentrations using multiple linear regression and radial basis function neural network in the Cheliff River basin, Algeria

Published:2023-05-09 Issue:1 Volume:12 Page:77-89
ISSN:2324-9676
Container-title:Journal of Applied Water Engineering and Research
language:en
Short-container-title:Journal of Applied Water Engineering and Research

Author:

Mehdaoui Ibrahim¹,Boudibi Samir²,Latif Sarmad Dashti³^ORCID,Sakaa Bachir¹²,Chaffai Hicham¹,Hani Azzedine¹

Affiliation:

1. Faculty of Earth Sciences, Laboratory of Water Resources and Sustainable Development, Badji Mokhtar University, Annaba, Algeria.

2. Scientific and Technical Research Center on Arid Regions (CRSTRA), Campus of Mohamed Khider University, Biskra, Algeria

3. Civil Engineering Department, College of Engineering, Komar University of Science and Technology, Sulaimany, Iraq

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249676.2023.2207838

Reference40 articles.

1. Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques

2. Depth-Integrated Estimation of Dissolved Oxygen in a Lake

3. Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

4. Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study

5. Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

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1. A Grey Wolf Optimized- Stacked Ensemble Approach for Nitrate Contamination Prediction in Cauvery Delta;Economic and Environmental Geology;2024-06-28

2. Exploring the Legal Accuracy of Mathematical Models in Crime Sentencing Prediction in the Face of Criminal Procedure Law Practice Needs;Applied Mathematics and Nonlinear Sciences;2024-01-01

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