Neural network prediction of the gas chromatographic separation of polycyclic aromatic hydrocarbons

dc.creator	Sremac, Snežana
dc.creator	Todorović, Žaklina
dc.creator	Popović, Aleksandra
dc.creator	Onjia, Antonije
dc.date.accessioned	2024-02-14T13:59:48Z
dc.date.available	2024-02-14T13:59:48Z
dc.date.issued	2004
dc.identifier.isbn	86-82475-04-9
dc.identifier.uri	http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7236
dc.description.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.	sr
dc.language.iso	en	sr
dc.publisher	Belgrade : The Society of Physical Chemists of Serbia	sr
dc.relation	Ministry of Science and Environmental Protection of the Republic of Serbia (Projects No. 1978)	sr
dc.rights	restrictedAccess	sr
dc.source	Physical Chemistry 2004 : proceedings of the 7th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 21-23, 2004, Belgrade	sr
dc.title	Neural network prediction of the gas chromatographic separation of polycyclic aromatic hydrocarbons	sr
dc.type	conferenceObject	sr
dc.rights.license	ARR	sr
dc.citation.epage	867
dc.citation.spage	865
dc.citation.volume	2
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_technorep_7236
dc.type.version	publishedVersion	sr