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Volumn 825, Issue 2, 1998, Pages 161-169
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Prediction of flame ionization detector response factors using an artificial neural network
a a |
Author keywords
Detection, GC; Flame ionization detection; Neural networks, artificial; Regression models; Response factors
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Indexed keywords
FORECASTING;
IONIZATION;
LIQUID CHROMATOGRAPHY;
MATHEMATICAL MODELS;
NEURAL NETWORKS;
ORGANIC COMPOUNDS;
REGRESSION ANALYSIS;
CHROMATOGRAPHIC RETENTION INDEX;
FLAME IONIZATION DETECTOR;
MICELLAR LIQUID CHROMATOGRAPHY;
QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP;
REGRESSION MODELS;
RESPONSE FACTORS;
SELECTIVITY COEFFICIENT;
GAS CHROMATOGRAPHY;
ORGANIC COMPOUND;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
GAS CHROMATOGRAPHY;
MODEL;
PREDICTION;
PRIORITY JOURNAL;
REGRESSION ANALYSIS;
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EID: 0032491525
PISSN: 00219673
EISSN: None
Source Type: Journal
DOI: 10.1016/S0021-9673(98)00687-6 Document Type: Article |
Times cited : (56)
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References (22)
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