ANFIS Based Prediction of the Percentage of Lanthanum Extraction Obtained Using Solvent Extraction Technique

Abstract

The solvent extraction process needs to be optimized by metal feed concentration, extractant and salt concentrations. The modeling of extraction equilibrium data provides valuable insight to the feasibility of the process through optimization.The chemical models need determination of chemical reaction among various entities of the system while the mathematical models finds it difficult to enhance the prediction range beyond a certain limit.Computer modeling like ANFIS can give a better and accurateprediction without prior knowledge of chemical stoichiometry. In this present study ANFIS(Adaptive Neuro Fuzzy Inference System) has been adopted for a solvent extraction system involving La(III) with acidic and basic extractants from various aqueous media.The conditions for least average error have been reported.