Alpha spectral analysis via artificial neural networks

An artificial neural network system that assigns quality factors to alpha particle energy spectra is discussed. The alpha energy spectra are used to detect plutonium contamination in the work environment. The quality factors represent the levels of spectral degradation caused by miscalibration and f...

Full description

Saved in:
Bibliographic Details
Published inProceedings of 1994 IEEE Nuclear Science Symposium - NSS'94 Vol. 1; pp. 418 - 421 vol.1
Main Authors Kangas, L.J., Troyer, G.L., Keller, P.E., Hashem, S., Kouzes, R.T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Air cleaners
Alpha particles
Artificial neural networks
Degradation
Filters
Instruments
Laboratories
Performance evaluation
Q factor
Spectral analysis
Online AccessGet full text

Cover

More Information
Summary:An artificial neural network system that assigns quality factors to alpha particle energy spectra is discussed. The alpha energy spectra are used to detect plutonium contamination in the work environment. The quality factors represent the levels of spectral degradation caused by miscalibration and foreign matter affecting the instruments. A set of spectra was labeled with a quality factor by an expert and used in training the artificial neural network expert system. Our investigation shows that the expert knowledge of alpha spectra quality factors can be transferred to an ANN system.< >
ISBN:9780780325449
0780325443
DOI:10.1109/NSSMIC.1994.474348