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