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Intelligent Techniques for Photocatalytic Removal of Pollution in Wastewater



Author(s)

Sina Razvarz and Raheleh Jafari

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DOI:10.17265/2328-2223/2017.06.004

This paper discusses the elimination of C.I. AY23 (Acid Yellow 23) using UV/Ag-TiO₂ process. To anticipate the photocatalytic elimination of AY23 with the existence of Ag-TiO₂ nanoparticles processed under desired circumstances, two computational techniques namely NN (neural network) and PSO (particle swarm optimization) modeling are developed. A summed up of 100 data are used to establish the models, wherein introductory concentration of dye, UV light intensity, initial dosage of nano Ag-TiO₂ and irradiation time are the four parameters applied as the input variables and elimination of AY23 as the output variable. The comparison among the predicted results by designed models and the experimental data proves that the performance of the NN model is comparatively sophisticated than the PSO model.

Modeling, NN, PSO.