Use of artificial neural networks and genetic algorithms for prediction of sorption of an azo-metal complex dye onto lentil straw

► Predictive modeling of sorption of Lanaset Red (LR)G on lentil straw was studied. ► Artificial neural network (ANN) was found to be excellent model in representing the sorption kinetics data. ► The sorption at various operating factors in a single equation was described by gene expression programming (GEP).