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Volumn 13, Issue 3-4, 1999, Pages 473-489
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Comparison of chemometric methods for prediction of rate constants and activation energies of radical addition reactions
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Author keywords
Artificial neural networks; Cross validation; Locally weighted regression; Multiple linear regression; Multivariate techniques; Principal component regression; QSAR model; Variable selection
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Indexed keywords
ACTIVATION ENERGY;
ADDITION REACTIONS;
COMPUTATIONAL CHEMISTRY;
ERRORS;
FORECASTING;
HYDROCARBONS;
MEAN SQUARE ERROR;
MOLECULAR GRAPHICS;
NEURAL NETWORKS;
PRINCIPAL COMPONENT ANALYSIS;
RATE CONSTANTS;
CHEMOMETRIC METHOD;
CROSS VALIDATION;
LOCALLY WEIGHTED REGRESSION;
MULTIPLE LINEAR REGRESSIONS;
MULTIVARIATE TECHNIQUES;
PRINCIPAL COMPONENT REGRESSION;
PRINCIPAL COMPONENTS;
QSAR MODEL;
ROOT-MEAN-SQUARE ERROR OF PREDICTIONS;
VARIABLES SELECTIONS;
MULTIPLE LINEAR REGRESSION;
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EID: 0000938136
PISSN: 08869383
EISSN: None
Source Type: Journal
DOI: 10.1002/(sici)1099-128x(199905/08)13:3/4<473::aid-cem558>3.3.co;2-n Document Type: Article |
Times cited : (19)
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References (14)
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