Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10904-0.pdf
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3. Aber, S., Amani-Ghadim, A. R., & Mirzajani, V. (2009). Removal of Cr(VI) from polluted solutions by electrocoagulation: Modeling of experimental results using artificial neural network. Journal of Hazardous Materials, 171(1–3), 484–490. https://doi.org/10.1016/j.jhazmat.2009.06.025
4. Afolabi, I. C., Popoola, S. I., & Bello, O. S. (2020). Modeling pseudo-second-order kinetics of orange peel-paracetamol adsorption process using artificial neural network. Chemometrics and Intelligent Laboratory Systems, 203. https://doi.org/10.1016/j.chemolab.2020.104053
5. Ahmad, M. B., Soomro, U., Muqeet, M., & Ahmed, Z. (2020). Adsorption of Indigo Carmine dye onto the surface-modified adsorbent prepared from municipal waste and simulation using deep neural network. Journal Hazard Materials, 124433. https://doi.org/10.1016/j.jhazmat.2020.124433
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