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Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks

โœ Scribed by Vinod Kumar Gupta; Hadi Khani; Behzad Ahmadi-Roudi; Shima Mirakhorli; Ehsan Fereyduni; Shilpi Agarwal


Book ID
116904826
Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
505 KB
Volume
83
Category
Article
ISSN
0039-9140

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Prediction of capillary gas chromatograp
โœ Vinod Kumar Gupta; Hadi Khani; Behzad Ahmadi-Roudi; Shima Mirakhorli; Ehsan Fere ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 505 KB

Quantitative structure-retention relationship (QSRR) models correlating the retention times of fatty acid methyl esters in high resolution capillary gas chromatography and their structures were developed based on non-linear and linear modeling methods. Genetic algorithm (GA) was used for the selecti