Using neural network modeling to improve the detection accuracy of land subsidence due to groundwater withdrawal
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11629-023-8470-2.pdf
Reference51 articles.
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4. Banerjee P, Singh VS, Chatttopadhyay K, et al. (2011) Artificial neural network model as a potential alternative for groundwater salinity forecasting. J Hydrol 398(3–4):212–220. https://doi.org/10.1016/j.jhydrol.2010.12.016
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