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Artificial neural network prediction of quantitative structure - retention relationships of polycyclic aromatic hydocarbons in gas chromatography
| Naziv: | Artificial neural network prediction of quantitative structure - retention relationships of polycyclic aromatic hydocarbons in gas chromatography | Autori: | Sremac, Snežana; Skrbić, Biljana  ; Onjia, Antonije  |
Godina: | 2005 | Publikacija: | Journal of the Serbian Chemical Society | ISSN: | 0352-5139 Journal of the Serbian Chemical Society Pretraži identifikator |
Izdavač: | Belgrade : Serbian Chemical Society Srpsko hemijsko društvo, Beograd |
Tip rezultata: | Naučni članak | Kolacija: | vol. 70 br. 11 str. 1291-1300 | DOI: | 10.2298/JSC0511291S | WoS-ID: | 000234277000007 | Scopus-ID: | 2-s2.0-31544473772 | VBS COBISS: | 143207692 | URI: | https://enauka.gov.rs/handle/123456789/229022 http://TechnoRep.tmf.bg.ac.rs/handle/123456789/841 https://plus.cobiss.net/cobiss/sr/sr/bib/143207692#izum.si https://vinar.vin.bg.ac.rs/handle/123456789/2960 |
M-kategorija: | 22M22 - Međunarodni časopis kategorije M22 |
