Combination of artificial neural network technique and linear free energy relationship parameters in the prediction of gradient retention times in liquid chromatography

Journal of Chromatography A

Volumn 1190, Issue 1-2, 2008, Pages 241-252

  Fatemi, M H ^a   Abraham, M H ^b   Poole, C F ^c  

^a UNIVERSITY OF MAZANDARAN   (Iran)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c WAYNE STATE UNIVERSITY   (United States)

Author keywords

Artificial neural network; Gradient retention; LFER parameters; Linear free energy relationship; Multiple linear regression; Quantitative structure retention relationship

Indexed keywords

FREE ENERGY; LINEAR REGRESSION; NEURAL NETWORKS; SOLUTIONS; TIME MEASUREMENT;

GRADIENT RETENTION; LINEAR FREE ENERGY RELATIONSHIP; MULTIPLE LINEAR REGRESSION; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP;

LIQUID CHROMATOGRAPHY;

ORGANIC COMPOUND;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CORRELATION ANALYSIS; ELUTION; ENERGY; ERROR; LINEAR REGRESSION ANALYSIS; LIQUID CHROMATOGRAPHY; MODEL; MULTIPLE LINEAR REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SEPARATION TECHNIQUE; TIME;

CHROMATOGRAPHY, LIQUID; NEURAL NETWORKS (COMPUTER);

EID: 42049106847     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2008.03.021     Document Type: Article

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