Quantitative predictions of gas chromatography retention indexes with support vector machines, radial basis neural networks and multiple linear regression
Author:
Publisher
Elsevier BV
Subject
Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Reference42 articles.
1. Prediction of partition coefficient and toxicity for benzaldehyde compounds by their capacity factors and various molecular descriptors
2. Study of Retention Parameters Obtained in RP-TLC System and Their Application on QSAR/QSPR of Some Alpha Adrenergic and Imidazoline Receptor Ligands
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4. Interpretation of Quantitative Structure−Property and −Activity Relationships
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