Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-18520-8.pdf
Reference136 articles.
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3. Alizamir M, Sobhanardakani S (2017a) A comparison of performance of artificial neural networks for prediction of heavy metals concentration in groundwater resources of Toyserkan Plain. Avicenna J Environ Health Eng 4(1):e11792
4. Alizamir M, Sobhanardakani S (2017b) Predicting arsenic and heavy metals contamination in groundwater resources of Ghahavand plain based on an artificial neural network optimized by imperialist competitive algorithm. Environ Health Eng Manag J 4(4):225–231
5. Alizamir M, Sobhanardakani S (2018) An artificial neural network - particle swarm optimization (ANN- PSO) approach to predict heavy metals contamination in groundwater resources. Jundishapur J Health Sci. 10(2):e67544. https://doi.org/10.5812/jjhs.67544
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