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Application of an artificial neural network for evaluation of activity concentration exemption limits in NORM
Hannah Wiedner1, Virginia Peyrés2, Teresa Crespo2
1BEV - Federal Office of Metrology and Surveying, Arltgasse 35, 1160 Wien, Austria.
Abstract:
NORM emits many different gamma energies that have to be analysed by an expert. Alternatively, artificial neural networks (ANNs) can be used. These mathematical software tools can generalize "knowledge" gained from training datasets, applying it to new problems. No expert knowledge of gamma-ray spectrometry is needed by the end-user. In this work an ANN was created that is able to decide from the raw gamma-ray spectrum if the activity concentrations in a sample are above or below the exemption limits.
