Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite

Bahareh Tanhaei, Morteza Esfandyari, Ali Ayati, Mika Sillanpää

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

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 languageEnglish
Pages (from-to)29-36
Number of pages8
JournalJournal of Nanostructure in Chemistry
Volume7
Issue number1
DOIs
Publication statusPublished - Mar 2017
Externally publishedYes

Keywords

  • ANFIS
  • Adsorption
  • Magnetic chitosan
  • Modeling

ASJC Scopus subject areas

  • Chemistry (miscellaneous)

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