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Volumn 915, Issue 1-2, 2001, Pages 177-183
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Artificial neural network modeling of Kováts retention indices for noncyclic and monocyclic terpenes
a
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Author keywords
Molecular descriptors; Neural networks, artificial; Regression models; Retention indices; Terpenes
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Indexed keywords
NEURAL NETWORKS;
REGRESSION ANALYSIS;
TOPOLOGY;
MONOCYCLIC TERPENES;
AROMATIC COMPOUNDS;
MACROGOL;
TERPENE;
ADSORPTION;
ANALYTIC METHOD;
ANALYTICAL ERROR;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CALCULATION;
CHEMICAL STRUCTURE;
CHROMATOGRAPHY;
COMPUTER PROGRAM;
ELECTRONICS;
GEOMETRY;
MODEL;
PARAMETER;
PHYSICAL CHEMISTRY;
PHYSICAL PHASE;
PREDICTION;
PRIORITY JOURNAL;
RANDOMIZATION;
STRUCTURE ANALYSIS;
NEURAL NETWORKS (COMPUTER);
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;
TERPENES;
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EID: 0035957849
PISSN: 00219673
EISSN: None
Source Type: Journal
DOI: 10.1016/S0021-9673(00)01274-7 Document Type: Article |
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Times cited : (101)
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References (33)
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