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Density prediction of ternary mixtures of ethanol + water + ionic liquid using backpropagation artificial neural networks

dc.contributor.authorMorales, Jorge
dc.contributor.authorMoldes, Óscar A
dc.contributor.authorIglesias-Otero, Manuel A
dc.contributor.authorMejuto, Juan C
dc.contributor.authorAstray, Gonzalo
dc.contributor.authorCid, Antonio
dc.date2015-08
dc.date.accessioned2020-08-13T08:02:30Z
dc.date.available2020-08-13T08:02:30Z
dc.identifier.isbn9781118834190
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10403
dc.descriptionCapítulo del libro "Bidyut K. Paul Satya P. Moulik. (2105). Ionic Liquid‐Based Surfactant Science: Formulation, Characterization, and Applications. Capítulo 21"es_ES
dc.description.abstractNew insights in the prediction of density in ternary mixtures of ethanol + water + ionic liquid using backpropagation artificial neural network (ANN) have been investigated by our research group. These predictions have been compared with the corresponding ones with another model, that is, multiple linear regression (MLR), and the advantages of neural modeling versus traditional modeling MLR have been shown.es_ES
dc.language.isoenges_ES
dc.publisherIonic Liquid-Based Surfactant Science: Formulation, Characterization, and Applicationses_ES
dc.relation.ispartofseries;pag. 447-458
dc.relation.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/9781118854501.ch21es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectScopuses_ES
dc.titleDensity prediction of ternary mixtures of ethanol + water + ionic liquid using backpropagation artificial neural networkses_ES
dc.typebookPartes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1002/9781118854501.ch21


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