Comparative Prediction of Red Alga Biosorbent Performance in Dye Removal using Multivariate Models of Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Comparative Prediction of Red Alga Biosorbent Performance in Dye Removal using Multivariate Models of Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Red algae species, Euchema Spinosum (ES) in Malaysia possesses excellent biosorbent properties in removing dyes from aqueous solutions. In the present study, the experimental design for the biosorption process was carried out via response surface methodology (RSMCCD). A total of 20 runs were carried...

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Bibliographic Details
Main Authors: Nadiah, Mokhtar, Edriyana, Abd Aziz, Azmi, Aris, W. F. W., Ishak, Anwar, P. P. Abdul Majeed, Syazwan, N. Moni, Siti Kamariah, Md Sa’at
Format: Article
Language:English
Published: Science Publishing Corporation 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/23625/
http://umpir.ump.edu.my/id/eprint/23625/
http://umpir.ump.edu.my/id/eprint/23625/1/IJET-22908.pdf

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