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Simultaneous Quantitative Analysis of Clorsulon and Ivermectin in a Veterinary Formulation by Artificial Neural Network

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dc.contributor.author Pektaş, Gözde
dc.contributor.author Dinç, Erdal
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2016-04-28T12:29:25Z
dc.date.available 2016-04-28T12:29:25Z
dc.date.issued 2008-10
dc.identifier.citation Baleanu, D. (2008). Simultaneous Quantitative Analysis of Clorsulon and Ivermectin in a Veterinary Formulation by Artificial Neural Network. Revista De Chimie, 59(10), 1156-1159. tr_TR
dc.identifier.issn 0034-7752
dc.identifier.uri http://hdl.handle.net/20.500.12416/940
dc.description.abstract Simultaneaous spectrophotometric determination of clorsulon (CLO) and invermectin (IVE) in commercial veterinary formulation was performed by using the artificial neural network (ANN) based on the back propagation algorithm. In order to find the optimal ANN model various topogical networks were tested by using different hidden layers. A logsig input layer, a hidden layer of neurons using the logsig transfer function and an output layer of two neurons with purelin transfer function was found suitable for basic configuration for ANN model. A calibration set consisting of CLO and IVE in calibration set was prepared in the concentration range of 1-23 mu g/mL and 1-14 mu g/mL, repectively. This calibration set contains 36 different synthetic mixtures. A prediction set was prepared in order to evaluate the recovery of the investigated approach ANN chemometric calibration was applied to the simultaneous analysis of CLO and IVE in compounds in a commercial veterinary formulation. The experimental results indicate that the proposed method is appropriate for the routine quality control of the above mentioned active compounds tr_TR
dc.language.iso eng tr_TR
dc.publisher Chiminform Data S A tr_TR
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Closulon tr_TR
dc.subject Ivermectin tr_TR
dc.subject Veterinary Injectable Formulation tr_TR
dc.subject Artificial Neural Networks tr_TR
dc.title Simultaneous Quantitative Analysis of Clorsulon and Ivermectin in a Veterinary Formulation by Artificial Neural Network tr_TR
dc.type article tr_TR
dc.relation.journal Revista De Chimie tr_TR
dc.contributor.authorID 197407 tr_TR
dc.contributor.authorID 6981 tr_TR
dc.identifier.volume 59 tr_TR
dc.identifier.issue 10S tr_TR
dc.identifier.startpage 1156 tr_TR
dc.identifier.endpage 1159 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bilgisayar Bölümü tr_TR


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