VAPOR-LIQUID EQUILIBRIUM PREDICTIONS USING NEURAL NETWORKS IN TERNARY SYSTEM (+) - FENCHONE+METHYL CHAVICOL+trans ANETHOLE

摘要

The Artificial Neural Networks (ANN) are used to predict the vapor-liquid equilibria (VLE), in the ternary system (+) -fenchone + methyl chavicol + trans anethole, starting from the binary vapor-liquid equilibrium experimental data. The prediction results are truthful. They reveal the benefits of this approach and the perspectives for its use for other vapor-liquid predictions in multicomponent systems.