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 to model uncertainties of measurement of activity levels of eight radionuclid
Application of neural network techniques in gamma spectroscopy
β Scribed by P. Olmos; J.C. Diaz; J.M. Perez; G. Garcia-Belmonte; P. Gomez; V. Rodellar
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 746 KB
- Volume
- 312
- Category
- Article
- ISSN
- 0168-9002
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