Fuzzy Logic-Based Model for Prediction of Separation Percent of NaCl Solution Using Electrodialysis

Abstract

Fuzzy system is known to predict model in the electrodialysis process. This paper aimed to predict separation per cent of NaCl solution as a function of concentration, temperature, flow rate and voltage. A Sugeno type FL inference system was to model NaCl solution using electrodialysis. Besides, in the Matlab, ANFIS (adaptive neuro-fuzzy inference system) based on Sugeno fuzzy model, its structure was similar to neural network and could generate fuzzy rules automatically, using the error back propagation algorithm and least square method to adjust the parameters of fuzzy inference system. We obtained fitted values of separation percent by ANFIS. Separation per cent from experiments compared with the fitted values of separation per cent. The result is shown that the correlation coefficient is 0.988. Therefore, it is verified as a good performance in the electrodialysis process.