Published 1993
| Version v1
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Estimation of prompt neutron decay constant using neural network
Description
A backpropagation neural network for the identifying fundamental prompt neutron decay constant at zero power heavy water RB reactor was evaluated. The network was trained and tested on experimental neutron noise data. it was then used to predict first decay mode for different reactor conditions. (author)
Availability note (English)
Available from INIS in electronic form; Also available from Institute of Nuclear Sciences VINCAFiles
38007706.pdf
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Additional details
Additional titles
- Original title (Serbian)
- Odredjivanje konstante slabljenja promptnih neutron koriscenjem neuralne mreze
Publishing Information
- Publisher
- Society for Electronics,Telecommunications, Computers, Automation, and Nuclear Engineering
- Imprint Place
- Belgrade (Yugoslavia)
- ISBN
- 86-80509-06-X
- Imprint Pagination
- 6 p.
- Report number
- INIS-RS--0404
Conference
- Title
- Society for Electronics, Telecommunications, Computers, Automation, and Nuclear Engineering
- Original Conference Title
- ETRAN '93: 37. Konferencija za elektroniku, telekomunikacije, racunarstvo, automatiku i nuklearnu tehniku
- Acronym
- 37. Conference - ETAN '93
- Dates
- 20-23 Sep 1993
- Place
- Beograd (Yugoslavia)
INIS
- Country of Publication
- Yugoslavia
- Country of Input or Organization
- Serbia
- INIS RN
- 38007706
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- HALF-LIFE; NEURAL NETWORKS; NUCLEAR DECAY; PROMPT NEUTRONS; R-B REACTOR; REACTOR NOISE
- Descriptors DEC
- BARYONS; DECAY; ELEMENTARY PARTICLES; EXPERIMENTAL REACTORS; FERMIONS; FISSION NEUTRONS; HADRONS; HEAVY WATER MODERATED REACTORS; NATURAL URANIUM REACTORS; NEUTRONS; NUCLEONS; REACTORS; RESEARCH AND TEST REACTORS; TRAINING REACTORS; ZERO POWER REACTORS
Optional Information
- Notes
- 5 refs., 1 tab., 3 figs