@conference{
author = "Sremac, Snežana and Todorović, Žaklina and Popović, Aleksandra and Onjia, Antonije",
year = "2004",
abstract = "This paper describes the application of artificial neural networks (ANNs) method
to the modeling of 13 polycyclic aromatic hydrocarbons (PAHs)retentionsin temperature - programmed gas chromatography.The ANN method used resulted in relatively
good agreement (RMStesting = 0.018) between the measured and the predicted retention
times for 13 PAHs. Somewhat higher discrepancy in prediction was observed for the
late – eluted PAHs at lower temperature ramps.",
publisher = "Belgrade : The Society of Physical Chemists of Serbia",
journal = "Physical Chemistry 2004 : proceedings of the 7th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 21-23, 2004, Belgrade",
title = "Neural network prediction of the gas chromatographic separation of polycyclic aromatic hydrocarbons",
pages = "867-865",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7236"
}