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Application of artificial neural networks in HPLC method development
dc.creator | Agatonović-Kuštrin, Snežana | |
dc.creator | Zečević, Mira | |
dc.creator | Živanović, L | |
dc.creator | Tucker, I.G | |
dc.date.accessioned | 2019-09-02T10:50:39Z | |
dc.date.available | 2019-09-02T10:50:39Z | |
dc.date.issued | 1998 | |
dc.identifier.issn | 0731-7085 | |
dc.identifier.uri | https://farfar.pharmacy.bg.ac.rs/handle/123456789/187 | |
dc.description.abstract | The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis. | en |
dc.publisher | Pergamon-Elsevier Science Ltd, Oxford | |
dc.rights | restrictedAccess | |
dc.source | Journal of Pharmaceutical and Biomedical Analysis | |
dc.title | Application of artificial neural networks in HPLC method development | en |
dc.type | article | |
dc.rights.license | ARR | |
dcterms.abstract | Зечевић, Мира; Aгатоновић-Куштрин, Снежана; Живановић, Л; Туцкер, И.Г; | |
dc.citation.volume | 17 | |
dc.citation.issue | 1 | |
dc.citation.spage | 69 | |
dc.citation.epage | 76 | |
dc.citation.other | 17(1): 69-76 | |
dc.citation.rank | M22 | |
dc.identifier.wos | 000073387700009 | |
dc.identifier.doi | 10.1016/S0731-7085(97)00170-2 | |
dc.identifier.pmid | 9608428 | |
dc.identifier.scopus | 2-s2.0-0032080860 | |
dc.type.version | publishedVersion |