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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 ...
Prediction of peak-to-background ratio in gamma-ray spectrometry using simplex optimized artificial neural network
(Pergamon-Elsevier Science Ltd, Oxford, 2005)
An artificial neural network (ANN) model was used for the prediction of peak-to-background ratio (PBR) as a function of measurement time in gamma-ray spectrometry. In order to make the ANN model with good predictive power, ...
Artificial neural network prediction of quantitative structure - retention relationships of polycyclic aromatic hydocarbons in gas chromatography
(Srpsko hemijsko društvo, Beograd, 2005)
A feed-forward artificial neural network (ANN) model was used to link molecular structures (boiling points, connectivity indices and molecular weights) and retention indices of polycyclic aromatic hydrocarbons (PAHs) in ...