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Separation Science and Technology Volume 40, 2005 - Issue 6
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Original Articles

Comparison of Retention Modeling in Ion Chromatography by Using Multiple Linear Regression and Artificial Neural Networks

Tomislav Bolanča University of Zagreb, Faculty of Chemical Engineering and Technology, Department for Analytical Chemistry, Zagreb, CroatiaCorrespondence[email protected]
,
Štefica Cerjan‐Stefanović University of Zagreb, Faculty of Chemical Engineering and Technology, Department for Analytical Chemistry, Zagreb, Croatia
,
Goran Srečnik PLIVA, Pharmaceutical Industry, Research and Development, Zagreb, Croatia
,
Željko Debeljak Clinical Hospital Osijek, Department of Medicinal Biochemistry, Osijek, Croatia
&
Milko Novič National Institute of Chemistry, Laboratory for Analytical Chemistry, Ljubljana, Slovenia
Pages 1333-1352 | Received 05 Aug 2004, Accepted 07 Jan 2005, Published online: 15 Feb 2007

Citations (3)

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Tahereh Shojaeimehr & Farshad Rahimpour. (2018) Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system). Journal of Liquid Chromatography & Related Technologies 41:12, pages 810-817.
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Articles from other publishers (2)

Tomislav Bolanča, Štefica Cerjan‐Stefanović, Melita Luša, Šime Ukić & Marko Rogošić. (2008) Evaluation of separation in gradient elution ion chromatography by combining several retention models and objective functions. Journal of Separation Science 31:4, pages 705-713.
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Tomislav Bolanča, Štefica Cerjan-Stefanović, Melita Luša, Marko Rogošić & Šime Ukić. (2006) Development of an ion chromatographic gradient retention model from isocratic elution experiments. Journal of Chromatography A 1121:2, pages 228-235.
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