Excess Molar Volume of Ternary System of Ionic Liquids Using Artificial Neural Network

This paper presents the model including back-propagation network (BPN) and principal component analysis (PCA) to estimate the excess molar volume of ionic liquid ternary system. The excess molar volume of ionic liquid mixtures is tested as a function of the temperature (T), mole fractions of components (x1 ,x2 and x3), molar mass of pure ionic liquids (M1 , M2 and M3) and total molar mass (Mw) using artificial neural network. The obtained results by means of PCA–BPN model they have excellent agreement with experimental data with high coefficient of determination for excess molar volume is R2 = 0.9985 and AAD = 1.80%.