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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, ...