M Akbarizadeh - Department of Chemical Engineering, University of Guilan, Rasht
A Daghbandan - دانشجوی کارشناسی ارشد مهندسی شیمی، دانشگاه گیلان، رشت، ایران
H Ghanadzadeh
A Jamali

In this study, A GMDH type-neural network was developed to predict LLE data for 2-butanol in the organic phase of ternary system (water + 2-butanol + 2-ethyl-1-hexanol) at various temperatures of 298.2, 308.2, 318.2, and 328.2K and atmospheric pressure. The predicted data were compared with the experimental data which have been previously reported. The average root mean square deviation (RMSD) between the observed and calculated mole fractions was used to reported errors, the estimated/predicted values of GMDH had a good agreement with experimental data

Liquid-liquid equilibrium, GMDH type neural network, ternary system, 2-butanol, pareto