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 Iranian association of environmental health (IAEH)

 Iranian Association of Environmental Health

Avicenna J Environ Health Eng. 2017;4(1): 11792. doi: 10.5812/ajehe.11792

Research Article

A Comparison of Performance of Artificial Neural Networks for Prediction of Heavy Metals Concentration in Groundwater Resources of Toyserkan Plain

Meysam Alizamir 1 * , Soheil Sobhanardakani 2

Cited by CrossRef: 9


1- Maurya B, Yadav N, T A, J S, A S, V P, Iyer M, Yadav M, Vellingiri B. Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges. Chemosphere. 2024;353:141474 [Crossref]
2- Li Q, Fan G, Zhang D, Yu W, Zhang S, Fan Z, Fu Y. Novel Method on Mixing Degree Quantification of Mine Water Sources: A Case Study. Processes. 2024;12(3):438 [Crossref]
3- Alizamir M, Sobhanardakani S. An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources. Jundishapur J Health Sci. 2018;10(2) [Crossref]
4- Sihag P, Keshavarzi A, Kumar V. Comparison of different approaches for modeling of heavy metal estimations. SN Appl Sci. 2019;1(7) [Crossref]
5- Ghobadi A, Cheraghi M, Sobhanardakani S, Lorestani B, Merrikhpour H. Hydrogeochemical characteristics, temporal, and spatial variations for evaluation of groundwater quality of Hamedan–Bahar Plain as a major agricultural region, West of Iran. Environ Earth Sci. 2020;79(18) [Crossref]
6- Huang P, Yang Z, Wang X, Ding F. Research on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines. Arab J Geosci. 2019;12(11) [Crossref]
7- Agbasi J, Egbueri J. Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study. J Sediment Environ. 2023;8(1):57 [Crossref]
8- Huang P, Wang X. Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area. Geofluids. 2018;2018:1 [Crossref]
9- Egbueri J, Agbasi J. Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms. Environ Sci Pollut Res. 2022;29(25):38346 [Crossref]
10- Wei J, Li G, Xie D, Yu G, Man X, Wang J. Discrimination of mine water-inflow sources based on the multivariate mixed model and fuzzy comprehensive evaluation. Arab J Geosci. 2020;13(17) [Crossref]
11- Ghobadi A, Cheraghi M, Sobhanardakani S, Lorestani B, Merrikhpour H. Groundwater quality modeling using a novel hybrid data-intelligence model based on gray wolf optimization algorithm and multi-layer perceptron artificial neural network: a case study in Asadabad Plain, Hamedan, Iran. Environ Sci Pollut Res. 2022;29(6):8716 [Crossref]