OICC Press Journal of Nanostructure in Chemistry 2193-8865 7 1 (March 2017) 2016 11 23 Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite 10.1007/s40097-016-0211-4 EN Bahareh Tanhaei Department of Chemical Engineering, Quchan University of Advanced Technology, Quchan, IR Morteza Esfandyari Department of Chemical Engineering, Faculty of Engineering, University of Bojnord, Bojnord, IR Ali Ayati Department of Chemical Engineering, Quchan University of Advanced Technology, Quchan, IR Laboratory of Green Chemistry, LUT School of Engineering Science, Lappeenranta University of Technology, Mikkeli, 50130, FI Mika Sillanpää Laboratory of Green Chemistry, LUT School of Engineering Science, Lappeenranta University of Technology, Mikkeli, 50130, FI Department of Civil and Environmental Engineering, Florida International University, Miami, 33174, US Journal Article 2016 11 23 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.