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