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.
Original language | English |
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Pages (from-to) | 29-36 |
Number of pages | 8 |
Journal | Journal of Nanostructure in Chemistry |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2017 |
Externally published | Yes |
Keywords
- ANFIS
- Adsorption
- Magnetic chitosan
- Modeling
ASJC Scopus subject areas
- Chemistry (miscellaneous)