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eNauka >  Results >  Prediction of programmed-temperature retention indices of polycyclic aromatic hydrocarbons in the Lee index scale by artificial neural network
Title: Prediction of programmed-temperature retention indices of polycyclic aromatic hydrocarbons in the Lee index scale by artificial neural network
Authors: Skrbić, Biljana ; Onjia, Antonije  
Issue Date: 2006
Publication: Match-Communications in Mathematical and in Computer Chemistry
ISSN: 0340-6253 Match: Communications in Mathematical and in Computer Chemistry Search Idenfier
Publisher: Univerzitet u Kragujevcu - Prirodno-matematički fakultet, Kragujevac
Type: Article
Collation: vol. 55 br. 2 str. 287-304
WoS-ID: 000239524700004
Scopus-ID: 2-s2.0-33845382303
URI: http://TechnoRep.tmf.bg.ac.rs/handle/123456789/953
https://vinar.vin.bg.ac.rs/handle/123456789/3055
https://open.uns.ac.rs/handle/123456789/15235
https://enauka.gov.rs/handle/123456789/407853
https://plus.cobiss.net/cobiss/sr/sr/bib/159791628#izum.si
M-category: 
21aM21a

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