dc.creatorZampronio, CG
dc.creatorRohwedder, JJR
dc.creatorPoppi, RJ
dc.date2002
dc.dateAPR 28
dc.date2014-11-16T17:58:48Z
dc.date2015-11-26T16:24:33Z
dc.date2014-11-16T17:58:48Z
dc.date2015-11-26T16:24:33Z
dc.date.accessioned2018-03-28T23:05:28Z
dc.date.available2018-03-28T23:05:28Z
dc.identifierChemometrics And Intelligent Laboratory Systems. Elsevier Science Bv, v. 62, n. 1, n. 17, n. 24, 2002.
dc.identifier0169-7439
dc.identifierWOS:000175072200002
dc.identifier10.1016/S0169-7439(01)00210-6
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54911
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/54911
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54911
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1268450
dc.descriptionArtificial neural network (ANN) was applied for data treatment as a multivariate calibration tool in a potentiometric acid-base flow injection titration. A multilayer feed-forward ANN model, with Levenberg-Marquardt weight error correction was used for data modeling. The neural network parameter architecture was optimized to establish a relationship between the titration profile and the acid concentration. Citric and malic acids in synthetic sample mixtures and in orange juices were analyzed and the performance of ANN was compared with that of partial least squares (PLS) regression. (C) 2002 Elsevier Science B.V. All rights reserved.
dc.description62
dc.description1
dc.description17
dc.description24
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationChemometrics And Intelligent Laboratory Systems
dc.relationChemometrics Intell. Lab. Syst.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectartificial neural networks
dc.subjectflow injection analysis
dc.subjectacid-base titration
dc.subjectMultivariate Calibration
dc.subjectRegression
dc.subjectMixtures
dc.titleArtificial neural networks applied to potentiometric acid-base flow injection titrations
dc.typeArtículos de revistas


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