title: Application of an artificial neural network for evaluation of activity concentration exemption limits in NORM industry.
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.
authors.affiliation: BEV - Federal Office of Metrology and Surveying, Arltgasse 35, 1160 Wien, Austria.
authors.forename: Hannah
authors.initials: H
authors.lastname: Wiedner
authors.affiliation: CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avda. Complutense 40, 28040 Madrid, Spain.
authors.forename: Virginia
authors.initials: V
authors.lastname: Peyrés
authors.affiliation: CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avda. Complutense 40, 28040 Madrid, Spain.
authors.forename: Teresa
authors.initials: T
authors.lastname: Crespo
authors.affiliation: CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avda. Complutense 40, 28040 Madrid, Spain.
authors.forename: Marcos
authors.initials: M
authors.lastname: Mejuto
authors.affiliation: CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avda. Complutense 40, 28040 Madrid, Spain.
authors.forename: Eduardo
authors.initials: E
authors.lastname: García-Toraño
authors.affiliation: BEV - Federal Office of Metrology and Surveying, Arltgasse 35, 1160 Wien, Austria.
authors.forename: Franz Josef
authors.initials: FJ
authors.lastname: Maringer
keywords: ANN; Artificial neural network; Exemption limit; Gamma-spectrometry; Monte Carlo; NORM; PENELOPE; PENNUC