Prediction of optimal adsorption of aqueous phenol removal with oil palm empty fruit bunch activated carbon using Artificial Neural Network (ANN)

Prediction of optimal adsorption of aqueous phenol removal with oil palm empty fruit bunch activated carbon using Artificial Neural Network (ANN)

Adsorption process has an edge in wastewater treatment over other techniques due to low initial cost, sludge free, ease of operation and insensitivity to toxic substance. It is a very essential part in the wastewater treatment process chain. It involves both physical and chemical phenomena and hence...

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Bibliographic Details
Main Authors: Olanrewaju, Rashidah Funke, Muyibi, Suleyman Aremu
Format: Article
Language:English
English
Published: American-Eurasian Network for Scientific Information 2014
Subjects:
TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:http://irep.iium.edu.my/57927/1/57927_Prediction%20of%20optimal%20adsorption%20of%20aqueous%20phenol%20removal.pdf
http://irep.iium.edu.my/57927/2/57927_Prediction%20of%20optimal%20adsorption%20of%20aqueous%20phenol%20removal_SCOPUS.pdf
http://irep.iium.edu.my/57927/
http://www.aensiweb.com/old/aeb/2014/582-589.pdf
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English

Internet

http://irep.iium.edu.my/57927/1/57927_Prediction%20of%20optimal%20adsorption%20of%20aqueous%20phenol%20removal.pdf
http://irep.iium.edu.my/57927/2/57927_Prediction%20of%20optimal%20adsorption%20of%20aqueous%20phenol%20removal_SCOPUS.pdf
http://irep.iium.edu.my/57927/
http://www.aensiweb.com/old/aeb/2014/582-589.pdf

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