caa a22 4500 445802855 CHVBK 20180317145147.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s10337-011-1994-6 doi (NATIONALLICENCE)springer-10.1007/s10337-011-1994-6 Optimization of Artificial Neural Networks for Modeling of Atorvastatin and Its Impurities Retention in Micellar Liquid Chromatography [Elektronische Daten] [Anđelija Malenović, Biljana Jančić-Stojanović, Nađa Kostić, Darko Ivanović, Mirjana Medenica] Artificial 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. Springer-Verlag, 2011 Micellar liquid chromatography nationallicence Artificial neural networks nationallicence Network's optimization nationallicence Atorvastatin nationallicence Impurities nationallicence Malenović Anđelija Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut Jančić-Stojanović Biljana Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut Kostić Nađa Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut Ivanović Darko Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut Medenica Mirjana Department of Physical Chemistry and Instrumental Methods, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut Chromatographia Springer-Verlag 73/9-10(2011-05-01), 993-998 0009-5893 73:9-10<993 2011 73 10337 https://doi.org/10.1007/s10337-011-1994-6 text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10337-011-1994-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Malenović Anđelija Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut NATIONALLICENCE 700 1- Jančić-Stojanović Biljana Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut NATIONALLICENCE 700 1- Kostić Nađa Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut NATIONALLICENCE 700 1- Ivanović Darko Department of Drug Analysis, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut NATIONALLICENCE 700 1- Medenica Mirjana Department of Physical Chemistry and Instrumental Methods, University of Belgrade, Faculty of Pharmacy, Vojvode Stepe 450, Belgrade, Serbia aut NATIONALLICENCE 773 0- Chromatographia Springer-Verlag 73/9-10(2011-05-01), 993-998 0009-5893 73:9-10<993 2011 73 10337 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer