New Artificial Intelligence Modeling for the Photocatalytic Removal of C.I. Acid Yellow ۲۳ in ‎Wastwater

This paper proposes two methods to predict the efficiency of photochemical removal of AY۲۳ by UV/Ag-TiO_{۲} process. In this work the potential of the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) modeling approaches are presented to forecast the photocatalytic removal of AY۲۳ in the presence of Ag-TiO_{۲} nanoparticles prepared under desired conditions. To validate the techniques, a total of ۱۰۰ data are used that randomly splitted in two parts, ۸۰ samples for the training the models and ۲۰ for testing of the models. Experimental results on datasets show that ICA approach is better than PSO approach. Remarkable analysis results reveal that AY۲۳ initial concentration is the most significant factors that influence on the AY۲۳ removal ‎efficiency.‎

کلیدواژه ها:

Nanoparticles ، Ag-TiO_۲ ، C. I. Acid Yellow ۲۳ ، Particle swarm optimization ، Imperialist competitive ‎algorithm