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Volumn 70, Issue 3-4, 2009, Pages 511-518
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Study on quantitative structure-retention relationships for hydrocarbons in FCC gasoline
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Author keywords
Artificial neural network; FCC gasoline; Gas chromatography; Multiple linear regression; Quantitative structure retention relationship
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Indexed keywords
GASOLINE;
HYDROCARBON;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL ANALYSIS;
CHEMICAL STRUCTURE;
COMPUTER PROGRAM;
CONTROLLED STUDY;
GAS CHROMATOGRAPHY;
MOLECULAR DYNAMICS;
MOLECULAR MODEL;
MULTIPLE LINEAR REGRESSION ANALYSIS;
PRIORITY JOURNAL;
STRUCTURE ANALYSIS;
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EID: 69049101017
PISSN: 00095893
EISSN: 16121112
Source Type: Journal
DOI: 10.1365/s10337-009-1174-0 Document Type: Article |
Times cited : (15)
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References (20)
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