Alpha spectral analysis via artificial neural networks

Conference · Sat Oct 01 00:00:00 EDT 1994

OSTI ID:10107362

Kangas, L J; Hashem, S; Keller, P E; Kouzes, R T ^[1]; Troyer, G L ^[2]

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1. Pacific Northwest Lab., Richland, WA (United States)
2. Westinghouse Hanford Co., Richland, WA (United States)

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. The investigation shows that the expert knowledge of alpha spectra quality factors can be transferred to an ANN system.

• Research Organization: Pacific Northwest Lab., Richland, WA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC06-76RL01830
• OSTI ID: 10107362
• Report Number(s): PNL-SA-24176; CONF-941061-13; ON: DE95004567; TRN: AHC29505%%114
• Resource Relation: Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference,Norfolk, VA (United States),30 Oct - 5 Nov 1994; Other Information: PBD: Oct 1994
• Country of Publication: United States
• Language: English

Related Subjects

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS
54 ENVIRONMENTAL SCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALPHA PARTICLES
ENERGY SPECTRA
PLUTONIUM
RADIATION MONITORING
DATA ANALYSIS
NEURAL NETWORKS
NUCLEAR FACILITIES
INDOOR AIR CONTAMINATION
ARTIFICIAL INTELLIGENCE
ALPHA DECAY
AIR FILTERS
ALPHA SPECTROMETERS
PERFORMANCE
053002
540130
990200
RADIOACTIVE EFFLUENTS
RADIOACTIVE MATERIALS MONITORING AND TRANSPORT
MATHEMATICS AND COMPUTERS