Modelling of Groundwater Quality in Madurai Using ANN
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0910-6_29
Reference14 articles.
1. Palanichamy J, Palani S Simulation and prediction of groundwater quality of a semi-arid region using fuzzy inference system and neural network techniques. https://doi.org/10.22115/SCCE.2022.285106.1314
2. Gholami V, Sebghati M, Yousefi Z (2016) Integration of artificial neural network and geographic information system applications in simulating groundwater quality. Ehemj 3:173–182. https://doi.org/10.15171/EHEM.2016.17
3. Nadaraja S, Saravanane R, Thirumalai S (2017) Application of ANN and MLR models on groundwater quality using CWQI at Lawspet, Puducherry in India. J Geosci Environ Prot 5:99–124.https://doi.org/10.4236/gep.2017.53008
4. Khudhair B, Malik Jasim M, Alsaqqar A (2018) Artificial neural network model for the prediction of groundwater quality. Civ Eng J 4:2959. https://doi.org/10.28991/cej-03091212
5. RaheliNamin B, Mohseni B (2018) Integrated artificial neural network modeling and GIS for identification of important factor on groundwater hydrochemistry (Fe-, Ca2+ and PO4–3). Arch Hyg Sci 7:126–133. https://doi.org/10.29252/ArchHygSci.7.2.126
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