Boiling points of ternary azeotropic mixtures modeled with the use of the universal solvation equation and neural networks

Industrial and Engineering Chemistry Research

Volumn 51, Issue 26, 2012, Pages 9123-9128

  Oliferenko, Alexander A ^a   Oliferenko, Polina V ^a   Torrecilla, José S ^b   Katritzky, Alan R ^a  

^a University of Florida ^*  (United States)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AB INITIO METHOD; ALTERNATIVE APPROACH; AZEOTROPIC MIXTURE; DATA POINTS; DESCRIPTORS; INPUT PARAMETER; INTERMOLECULAR INTERACTIONS; LARGE CLUSTERS; MULTI-COMPONENT SYSTEMS; MULTICOMPONENT MIXTURE; MULTIPLE REGRESSION MODEL; MULTIPLE REGRESSIONS; NEURAL NETWORK MODEL; NON-LINEARITY; NORMAL BOILING POINTS; NUMBER OF COMPONENTS; PARAMETER CONTRIBUTIONS; QSPR MODEL; QUALITY OF FIT; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; SQUARED CORRELATION COEFFICIENTS; THEORETICAL MODELING; TRAINING SETS;

BOILING POINT; CONTROL NONLINEARITIES; REGRESSION ANALYSIS; SOLVATION;

MIXTURES;

EID: 84863526767     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie202550v     Document Type: Conference Paper

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