Application of Artificial Intelligence Methods in Quantitative Analysis of Gamma-ray Spectra

Abstract

An artificial neural network (ANN) has been trained with real-sample spectra of radioactive materials. Following the training stage ANN was applied to a subset of similar samples Results obtained with the ANN method are in good agreement with results obtained from traditional techniques, showing the high potentiality of ANN.