Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India

Journal of Geoscience and Environment Protection

ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.net/journal/gep
E-mail: [email protected]

Citations

"Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India"
written by N. Suresh Nathan, R. Saravanane, T. Sundararajan,
published by Journal of Geoscience and Environment Protection, Vol.5 No.3, 2017

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Monitoring the Industrial waste polluted stream-Integrated analytics and machine learning for water quality index assessment
	Journal of Cleaner …, 2024

[2]	Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain
	Heliyon, 2024

[3]	Evaluation of water quality based on artificial intelligence: performance of multilayer perceptron neural networks and multiple linear regression versus water quality …
	Environment, Development and Sustainability, 2024

[4]	A comparative study of statistical models for forecasting Covid-19 cases in Greece
	AIP Conference …, 2024

[5]	AI-Based Smart Water Quality Monitoring and Wastewater Management: An Integrated Bio-Computational Approach
	… in Machine Learning and IoT for …, 2024

[6]	Modelling of reference evapotranspiration using neural network and regression approaches for Semi-Humid region of Sikkim
	Journal of Agricultural …, 2023

[7]	The Effect of the Treated Wastewater on the Pollution of the Diyala River
	Mayahi, LAAIS Al… - IOP Conference Series …, 2023

[8]	Exploring the Applicability of Regression Models and Artificial Neural Networks for Calculating Reference Evapotranspiration in Arid Regions
	Fattah, S Kotb Abd-Elmabod, Z Zhang… - Sustainability, 2023

[9]	The use of artificial neural networks in modelling migration pollutants from the degradation of microplastics
	Science of The Total …, 2023

[10]	Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling …
	Arabian Journal of …, 2023

[11]	Application of artificial neural network and multi-linear regression techniques in groundwater quality and health risk assessment around Egbema, Southeastern …
	Environmental Earth …, 2023

[12]	Prediction models for groundwater quality parameters using a multiple linear regression (MLR): a case study of Kermanshah, Iran
	Journal of Environmental …, 2022

[13]	Integrating machine learning and multi-linear regression modeling approaches in groundwater quality assessment around Obosi, SE Nigeria
	Environment …, 2022

[14]	Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan
	Modeling Earth Systems …, 2022

[15]	Evapotranspiration Modelling using Artificial Neural Network and Multiple Linear Regression Approach in Semi-Humid Region of Sikkim
	2022

[16]	Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin
	… Science and Pollution …, 2022

[17]	Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using multiple …
	Atmospheric …, 2021

[18]	Use of factor Analysis (FA), artificial neural networks (ANNs), and multiple linear regression (MLR) for electrical conductivity prediction in aquifers in the gallikos river …
	Hydrology, 2021

[19]	River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
	2021

[20]	Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using …
	2021

[21]	Groundwater Quality Forecasting Modeling: A Review
	2021

[22]	Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios
	2021

[23]	Remote sensing-based water quality index estimation using data-driven approaches: a case study of the Kali River in Uttar Pradesh, India
	2021

[24]	The effects of meteorological parameters on PM10: Health impacts assessment using AirQ+ model and prediction by an artificial neural network (ANN)
	2021

[25]	Comparison of Multiple Linear Regression and Artificial Neural Network for Inflow Prediction of Ukai Reservoir
	… Conference on Hydraulics, Water Resources and …, 2021

[26]	Assessment of water collected from boreholes within unsanitary landfill in Anambra State
	Euro J Appl Sci, 2021

[27]	The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non …
	2019

[28]	Application of Artificial Neural Network and Geographical Information System Models to Predict and Evaluate the Quality of Diyala River Water, Iraq
	2019

[29]	The Effect of Diyala River Water Quality on the Quality of Tigris River Water using GIS Mapping
	2019

[30]	Python Based Estimation of Groundwater Quality Along Hudaira Drain

[1]	Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters Environmental Processes, 2025 DOI:10.1007/s40710-025-00751-9

[2]	Streamlining the monitoring and assessment of irrigation groundwater quality using machine learning techniques Environmental Earth Sciences, 2025 DOI:10.1007/s12665-025-12132-4

[3]	Aquatic system assessment of potentially toxic elements in El Manzala Lake, Egypt: A statistical and machine learning approach Results in Engineering, 2025 DOI:10.1016/j.rineng.2025.105027

[4]	Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain Heliyon, 2024 DOI:10.1016/j.heliyon.2024.e31493

[5]	Environmental Engineering for Ecosystem Restoration Lecture Notes in Civil Engineering, 2024 DOI:10.1007/978-981-97-0910-6_29

[6]	Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment Journal of Cleaner Production, 2024 DOI:10.1016/j.jclepro.2024.141877

[7]	Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh Scientific Reports, 2024 DOI:10.1038/s41598-024-60560-2

[8]	Evaluation of water quality based on artificial intelligence: performance of multilayer perceptron neural networks and multiple linear regression versus water quality indexes Environment, Development and Sustainability, 2024 DOI:10.1007/s10668-024-05075-6

[9]	An advanced approach for drinking water quality indexing and health risk assessment supported by machine learning modelling in Siwa Oasis, Egypt Journal of Hydrology: Regional Studies, 2024 DOI:10.1016/j.ejrh.2024.101967

[10]	A comparative study of statistical models for forecasting Covid-19 cases in Greece INTERNATIONAL CONFERENCE ON ANALYSIS AND APPLIED MATHEMATICS (ICAAM 2022), 2024 DOI:10.1063/5.0194723

[11]	The use of artificial neural networks in modelling migration pollutants from the degradation of microplastics Science of The Total Environment, 2023 DOI:10.1016/j.scitotenv.2023.166856

[12]	Geospatial and Soft Computing Techniques Lecture Notes in Civil Engineering, 2023 DOI:10.1007/978-981-99-1901-7_34

[13]	The Effect of the Treated Wastewater on the Pollution of the Diyala River IOP Conference Series: Earth and Environmental Science, 2023 DOI:10.1088/1755-1315/1215/1/012013

[14]	Innovations in Machine Learning and IoT for Water Management Advances in Civil and Industrial Engineering, 2023 DOI:10.4018/979-8-3693-1194-3.ch007

[15]	Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin Environmental Science and Pollution Research, 2022 DOI:10.1007/s11356-022-18644-x

[16]	Integrating machine learning and multi-linear regression modeling approaches in groundwater quality assessment around Obosi, SE Nigeria Environment, Development and Sustainability, 2022 DOI:10.1007/s10668-022-02679-8

[17]	Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan Modeling Earth Systems and Environment, 2022 DOI:10.1007/s40808-022-01638-6

[18]	Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios PLOS ONE, 2021 DOI:10.1371/journal.pone.0251510

[19]	Disparities in particulate matter (PM₁₀) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM₁₀ oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis Atmospheric Chemistry and Physics, 2021 DOI:10.5194/acp-21-9719-2021

[20]	Use of Factor Analysis (FA), Artificial Neural Networks (ANNs), and Multiple Linear Regression (MLR) for Electrical Conductivity Prediction in Aquifers in the Gallikos River Basin, Northern Greece Hydrology, 2021 DOI:10.3390/hydrology8030127

[21]	Remote sensing-based water quality index estimation using data-driven approaches: a case study of the Kali River in Uttar Pradesh, India Environment, Development and Sustainability, 2021 DOI:10.1007/s10668-021-01437-6

[22]	Groundwater quality forecasting modelling using artificial intelligence: A review Groundwater for Sustainable Development, 2021 DOI:10.1016/j.gsd.2021.100643

[23]	River water quality index prediction and uncertainty analysis: A comparative study of machine learning models Journal of Environmental Chemical Engineering, 2021 DOI:10.1016/j.jece.2020.104599

	[email protected]
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Geoscience and Environment Protection

Journal of Geoscience and Environment Protection

Journals Menu

Guidelines & Policies

Home

About SCIRP

Service

Policies