Correlation and prediction of VLE of water+congener mixtures found in alcoholic beverages using an artificial neural network

Faúndez C.A.; Quiero F.A.; Valderrama J.O.

Keywords: model, binary, water, modeling, equilibria, network, mixtures, equilibrium, pressure, ethanol, prediction, networks, phase, liquids, mixture, data, bubble, correlation, accurate, artificial, points, online, vapor, beverages, properties, methods, literature, and, engineering, Neural, Alcoholic, alternative, Vapor-liquid, communications, editions

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Título según SCOPUS: Correlation and prediction of VLE of water+congener mixtures found in alcoholic beverages using an artificial neural network
Título de la Revista: Chemical Engineering Communications
Volumen: 198
Número: 1
Editorial: Taylor and Francis Ltd.
Fecha de publicación: 2011
Página de inicio: 102
Página final: 119
Idioma: English
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-77958617076&partnerID=q2rCbXpz
DOI:

10.1080/00986445.2010.493127

Notas: SCOPUS