Journals Information
Universal Journal of Applied Mathematics Vol. 2(2), pp. 84 - 91
DOI: 10.13189/ujam.2014.020202
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Comparative Study of Artificial Neural Network and Response Surface Methodology for Modelling and Optimization the Adsorption Capacity of Fluoride onto Apatitic Tricalcium Phosphate
M.Mourabet *, A. El Rhilassi , M.Bennani-Ziatni , A. Taitai
Team Chemistry and Valorization of Inorganic Phosphates, Department of Chemistry, Faculty of Sciences, BP 133, Kenitra, Morocco
ABSTRACT
In this study, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to develop an approach for the evaluation of fluoride adsorption process. A batch adsorption process was performed using apatitic tricalcium phosphate an adsorbent, to remove fluoride ions from aqueous solutions. The effects of process variables which are pH, adsorbent mass, initial concentration, and temperature, on the adsorption capacity (qe (mg/g)) of fluoride were investigated through three-levels, four-factors Box-Behnken (BBD) designs. Same design was also utilized to obtain a training set for ANN. The results of two methodologies were compared for their predictive capabilities in terms of the coefficient of determination(R2), root mean square error (RMSE), and the absolute average deviation (AAD) based on the experimental data set. The results showed that the ANN model is much more accurate in prediction as compared to BBD.
KEYWORDS
Response Surface Methodology, Box-Behnken Designs, Artificial Neural Network, Adsorption Capacity, Fluoride
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] M.Mourabet , A. El Rhilassi , M.Bennani-Ziatni , A. Taitai , "Comparative Study of Artificial Neural Network and Response Surface Methodology for Modelling and Optimization the Adsorption Capacity of Fluoride onto Apatitic Tricalcium Phosphate," Universal Journal of Applied Mathematics, Vol. 2, No. 2, pp. 84 - 91, 2014. DOI: 10.13189/ujam.2014.020202.
(b). APA Format:
M.Mourabet , A. El Rhilassi , M.Bennani-Ziatni , A. Taitai (2014). Comparative Study of Artificial Neural Network and Response Surface Methodology for Modelling and Optimization the Adsorption Capacity of Fluoride onto Apatitic Tricalcium Phosphate. Universal Journal of Applied Mathematics, 2(2), 84 - 91. DOI: 10.13189/ujam.2014.020202.