PREDICTION OF THE PHYSICO-CHEMICAL PROPERTIES OF HYDROCARBON MIXTURES BY NEURAL NETWORKS

The main classical approaches to the calculation of physicochemical properties individual hydrocarbons and their multicomponent mixtures are considered, as well possibility evaluation based on artificial neural networks. obtained training set allows estimate boiling point, average molecular weight density hydrocarbon a limited initial data: mass concentrations its components normal