Published January 2016
| Version v1
Journal article
γ-spectra analysis based on RBF artificial neural network
- 1. College of Physics and Electric Technology, Liaoning Normal University, Dalian (China)
Description
A method of analyzing γ-spectra based on RBF ANN was introduced. The training sample sets were established by linearly combining the spectra of the standard radioactive sources that contain a single nuclide composition respectively, and the RBF ANN was trained with these sample sets. The combination spectra by different collecting time of the standard point sources and those of a standard environmental sample were analyzed. The deviation was less than 3% and 8% respectively. The results show that the method of analyzing γ-spectra based on RBF ANN is effective and feasible. (authors)
Additional details
Publishing Information
- Journal Title
- Nuclear Electronics and Detection Technology
- Journal Volume
- 36
- Journal Issue
- 1
- Journal Page Range
- p. 56-59
- ISSN
- 0258-0934
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 53028163
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- DATA ANALYSIS; GAMMA SOURCES; GAMMA SPECTRA; NEURAL NETWORKS; POINT SOURCES; RADIOISOTOPES; TRAINING
- Descriptors DEC
- DATA PROCESSING; EDUCATION; ISOTOPES; PROCESSING; RADIATION SOURCES; SPECTRA
Optional Information
- Notes
- 2 tabs., 13 refs.