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dc.creatorMalenović, Anđelija
dc.creatorJančić-Stojanović, Biljana
dc.creatorKostić, Nada
dc.creatorIvanović, Darko
dc.creatorMedenica, Mirjana
dc.date.accessioned2019-09-02T11:24:30Z
dc.date.available2019-09-02T11:24:30Z
dc.date.issued2011
dc.identifier.issn0009-5893
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/1521
dc.description.abstractArtificial Neural Networks (ANNs) present a powerful tool for the modeling of chromatographic retention. In this paper, the main objective was to use ANNs as a tool in modeling of atorvastatin and its impurities' retention in a micellar liquid chromatography (MLC) protocol. Factors referred to MLC were evaluated through 30 experiments defined by the Central Composite Design. In this manner, 5-x-3 topology as a starting point for ANNs' optimization was defined too. In the next step, in order to set the network with the best performance, network optimization was done. In the first part, the number of nodes in the hidden layer and the number of experimental data points in training set were simultaneously varied, and their importance was estimated with suitable statistical parameters. Furthermore, a series of training algorithms was applied to the current network. The Back Propagation, Conjugate Gradient-descent, Quick Propagation, Quasi-Newton, and Delta-bar-Delta algorithms were used to obtain the optimal network. Finally, the predictive ability of the optimized neural network was confirmed through several statistical tests. The obtained network showed high ability to predict chromatographic retention of atorvastatin and its impurities in MLC.en
dc.publisherSpringer Heidelberg, Heidelberg
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172052/RS//
dc.rightsrestrictedAccess
dc.sourceChromatographia
dc.subjectMicellar liquid chromatographyen
dc.subjectArtificial neural networksen
dc.subjectNetwork's optimizationen
dc.subjectAtorvastatinen
dc.subjectImpuritiesen
dc.titleOptimization of Artificial Neural Networks for Modeling of Atorvastatin and Its Impurities Retention in Micellar Liquid Chromatographyen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractМаленовић, Aнђелија; Меденица, Мирјана; Јанчић-Стојановић, Биљана; Ивановић, Дарко; Костић, Нада;
dc.citation.volume73
dc.citation.issue9-10
dc.citation.spage993
dc.citation.epage998
dc.citation.other73(9-10): 993-998
dc.citation.rankM23
dc.identifier.wos000289300500019
dc.identifier.doi10.1007/s10337-011-1994-6
dc.identifier.scopus2-s2.0-79958250797
dc.identifier.rcubconv_2412
dc.type.versionpublishedVersion


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