Alpha spectral analysis via artificial neural networks

Author

Kangas, Lars J. ; Troyer, Gary L. ; Keller, Paul E. ; Hashem, Sherif ; Kouzes, Richard T.

Author_Institution

Pacific Northwest Lab., Richland, WA, USA

Volume

1

fYear

1994

fDate

30 Oct-5 Nov 1994

Firstpage

418

Abstract

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

Keywords

air pollution measurement; alpha-particle spectra; environmental science computing; expert systems; neural nets; plutonium; radioactivity measurement; spectral analysis; Pu; alpha particle energy spectra; alpha spectral analysis; artificial neural network expert system; artificial neural network system; expert knowledge; miscalibration; plutonium contamination; quality factors; spectral degradation; work environment; Air cleaners; Alpha particles; Artificial neural networks; Degradation; Filters; Instruments; Laboratories; Performance evaluation; Q factor; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record

Conference_Location

Norfolk, VA

Print_ISBN

0-7803-2544-3

Type

conf

DOI

10.1109/NSSMIC.1994.474348

Filename

474348