Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)
This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon, hydrogen, nitrogen, and s...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/81775/1/molecules-25-03263.pdf http://irep.iium.edu.my/81775/7/81775_Modeling%20of%20Cu%28II%29%20adsorption%20from%20an%20aqueous_scopus.pdf http://irep.iium.edu.my/81775/ https://www.mdpi.com/1420-3049/25/14/3263 |
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