Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)

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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Bibliographic Details
Main Authors: Khan, Taimur, Abd Manan, Teh Sabariah, Hasnain Isa, Mohamed, A. J. Ghanim, Abdulnoor, Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2020
Subjects:
TP155 Chemical engineering
Online Access:http://irep.iium.edu.my/81775/
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

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