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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 ...
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 ...