Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite
Source abstract
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.
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Research context
OpenAlex topics: Fuzzy Logic and Control Systems · Adsorption and biosorption for pollutant removal
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References (37)
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