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...

Full description

Saved in:
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:
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
Tags: Add Tag
No Tags, Be the first to tag this record!