title: Application of artificial neural networks in HPLC method development.
abstract: The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis.
authors.affiliation: School of Pharmacy, University of Otago, Dunedin, New Zealand.
authors.forename: S
authors.initials: S
authors.lastname: Agatonovic-Kustrin
authors.forename: M
authors.initials: M
authors.lastname: Zecevic
authors.forename: L
authors.initials: L
authors.lastname: Zivanovic
authors.forename: I G
authors.initials: IG
authors.lastname: Tucker
mesh_terms: D000584:Amiloride / Q000032:analysis; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D006863:Hydrogen-Ion Concentration; D000432:Methanol; D015999:Multivariate Analysis; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012997:Solvents
chemical_list: D012997:Solvents; D000584:Amiloride; D000432:Methanol