Artificial neural network prediction of quantitative structure: Retention relationships of polycyclic aromatic hydocarbons in gas chromatography

Artificial neural network prediction of quantitative structure: Retention relationships of polycyclic aromatic hydocarbons in gas chromatography

A feed-forward artificial neural network (ANN) model was used to link molecular structures (boiling points, connectivity indices and molecular weights) and retention indices of polycyclic aromatic hydrocarbons (PAHs) in linear temperature- programmed gas chromatography. A randomly taken subset of PA...

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Bibliographic Details
Main Authors: Sremac Snežana, Škrbić Biljana D., Onjia Antonije E.
Format: Article
Language:English
Published: Serbian Chemical Society 2005-01-01
Series:Journal of the Serbian Chemical Society
Subjects:
retention index
gc
ann
pahs
qsrr
molecular descriptors
Online Access:http://www.doiserbia.nb.rs/img/doi/0352-5139/2005/0352-51390511291S.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0352-5139/2005/0352-51390511291S.pdf

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