Author/Authors :
Tanhaei, Bahareh Department of Chemical Engineering - Quchan University of Advanced Technology, Quchan , Esfandyari, Morteza Department of Chemical Engineering - Faculty of Engineering - University of Bojnord, Bojnord , Ayati, Ali Department of Chemical Engineering - Quchan University of Advanced Technology, Quchan , Sillanpa¨a, Mika Department of Civil and Environmental Engineering - Florida International University, USA
Abstract :
In the present paper, the adaptive neural fuzzy
inference system (ANFIS) was used for modeling of
magnetic chitosan adsorption performance for the methyl
orange removal. The ANFIS network, which is the best in
data predicting, was trained with back propagation optimum
method. Our results revealed that the developed
ANFIS models can effectively model the non-linearity
behavior of the adsorptive performance and the predicted
values were in good agreement with the experimental data.
Keywords :
Adsorption , Magnetic chitosan , Modeling , ANFIS
