Alpha spectral analysis via artificial neural networks
Conference
·
OSTI ID:10107362
- Pacific Northwest Lab., Richland, WA (United States)
- 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
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
053002
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS
54 ENVIRONMENTAL SCIENCES
540130
99 GENERAL AND MISCELLANEOUS
990200
AIR FILTERS
ALPHA DECAY
ALPHA PARTICLES
ALPHA SPECTROMETERS
ARTIFICIAL INTELLIGENCE
DATA ANALYSIS
ENERGY SPECTRA
INDOOR AIR CONTAMINATION
MATHEMATICS AND COMPUTERS
NEURAL NETWORKS
NUCLEAR FACILITIES
PERFORMANCE
PLUTONIUM
RADIATION MONITORING
RADIOACTIVE EFFLUENTS
RADIOACTIVE MATERIALS MONITORING AND TRANSPORT
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS
54 ENVIRONMENTAL SCIENCES
540130
99 GENERAL AND MISCELLANEOUS
990200
AIR FILTERS
ALPHA DECAY
ALPHA PARTICLES
ALPHA SPECTROMETERS
ARTIFICIAL INTELLIGENCE
DATA ANALYSIS
ENERGY SPECTRA
INDOOR AIR CONTAMINATION
MATHEMATICS AND COMPUTERS
NEURAL NETWORKS
NUCLEAR FACILITIES
PERFORMANCE
PLUTONIUM
RADIATION MONITORING
RADIOACTIVE EFFLUENTS
RADIOACTIVE MATERIALS MONITORING AND TRANSPORT