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Classification of soil samples according to geographic origin using gamma-ray spectrometry and pattern recognition methods
(Pergamon-Elsevier Science Ltd, Oxford, 2007)
Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes, according to regions in Serbia and Montenegro from ...
Simplex optimization of artificial neural networks for the prediction of minimum detectable activity in gamma-ray spectrometry
(Elsevier, Amsterdam, 2006)
A three-layer feed-forward artificial neural network (ANN) with a back-propagation learning algorithm was used to predict the minimum detectable activity (AD) of radionuclides (Ra-226, U-238, U-235, K-40, Th-232, Cs-134, ...
Optimization of artificial neural network for retention modeling in high-performance liquid chromatography
(Elsevier, Amsterdam, 2004)
An artificial neural network (ANN) model for the prediction of retention times in high-performance liquid chromatography (HPLC) was developed and optimized. A three-layer feed-forward ANN has been used to model retention ...
Artificial neural network modelling of uncertainty in gamma-ray spectrometry
(Elsevier, Amsterdam, 2005)
An artificial neural network (ANN) model for the prediction of measuring uncertainties in gamma-ray spectrometry was developed and optimized. A three-layer feed-forward ANN with back-propagation learning algorithm was used ...
Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons
(Elsevier, Amsterdam, 2008)
An interpretative strategy (factorial design experimentation + total resolution analysis + chromatogram simulation) was employed to optimize the separation of 16 polycyclic aromatic hydrocarbons (PAHs) (naphthalene, ...