Modelling of carbon dioxide solubility in ionic liquids at sub and supercritical conditions by neural networks and mathematical regressions

Chemometrics and Intelligent Laboratory Systems

Volumn 93, Issue 2, 2008, Pages 149-159

  Torrecilla, José S ^a   Palomar, José ^b   García, Julián ^a   Rojo, Ester ^a   Rodríguez, Francisco ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Carbon dioxide solubility; Ionic liquids; Linear model; Multilayer perceptron; Radial basis

Indexed keywords

CARBON DIOXIDE; IONIC LIQUID;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CENTRAL TENDENCY BIAS; MATHEMATICAL MODEL; MULTIPLE LINEAR REGRESSION ANALYSIS; PERCEPTRON; PRIORITY JOURNAL; SOLUBILITY; STATISTICAL PARAMETERS; SUPERCRITICAL FLUID;

EID: 54049099142     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2008.05.004     Document Type: Article

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