|
|
Volumn 24, Issue 15, 2001, Pages 2239-2256
|
|
Radial basis function networks in liquid chromatography: Improved structure-retention relationships compared to principal components regression (PCR) and nonlinear partial least squares regression (PLS)
a
|
|
Author keywords
[No Author keywords available]
|
|
Indexed keywords
LEAST SQUARES APPROXIMATIONS;
PRINCIPAL COMPONENT ANALYSIS;
RADIAL BASIS FUNCTION NETWORKS;
REGRESSION ANALYSIS;
PARTIAL LEAST SQUARE REGRESSION (PLS);
QUANTITATIVE STRUCTURE RETENTION RELATIONSHIPS (QSRR);
LIQUID CHROMATOGRAPHY;
ALUMINUM OXIDE;
SILICON DIOXIDE;
ACCURACY;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL STRUCTURE;
LIQUID CHROMATOGRAPHY;
MODEL;
NONLINEAR SYSTEM;
PRINCIPAL COMPONENT ANALYSIS;
REGRESSION ANALYSIS;
|
|
EID: 0034837541
PISSN: 10826076
EISSN: None
Source Type: Journal
DOI: 10.1081/JLC-100105137 Document Type: Article |
|
Times cited : (6)
|
|
References (21)
|
