Published November 2006
| Version v1
Journal article
A study of nuclear components identification method based on BP neural network
- 1. The Second Artillery Engineering Institute, Xi'an (China)
Description
Taking sensitive information protection into consideration, the technique of identifying nuclear components types by gamma spectrum with the use of BP neural network is discussed in this paper. The identification accuracy exceeds 98 percent. The experiment results show that using BP neural network to identify the nuclear components is feasible. (authors)
Additional details
Publishing Information
- Journal Title
- Nuclear Electronics and Detection Technology
- Journal Volume
- 26
- Journal Issue
- 6
- Journal Page Range
- p. 721-722, 745
- ISSN
- 0258-0934
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 38085529
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ACCURACY; FEASIBILITY STUDIES; GAMMA DETECTION; GAMMA SPECTRA; IDENTIFICATION SYSTEMS; INFORMATION; INSPECTION; NEURAL NETWORKS; SAFEGUARDS
- Descriptors DEC
- DETECTION; RADIATION DETECTION; SPECTRA
Optional Information
- Notes
- 2 figs., 5 refs.