Assessment and prediction of water quality indices by machine learning-genetic algorithm and response surface methodology
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40808-024-02079-z.pdf
Reference76 articles.
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4. Ayaz M, Chourasiya S, Danish M (2024) Performance analysis of different ANN modelling techniques in discharge prediction of circular side orifice. Model Earth Syst Environ 10:273–283. https://doi.org/10.1007/s40808-023-01766-7
5. Azid A, Juahir H, Toriman ME et al (2014) Prediction of the level of Air Pollution using principal component analysis and Artificial neural network techniques: a case study in Malaysia. Water Air Soil Pollut. https://doi.org/10.1007/s11270-014-2063-1. 225:2063
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