Artificial neural networks for spatial distribution of fuel assemblies in reload of PWR reactors
An artificial neural network methodology is being developed in order to find an optimum spatial distribution of the fuel assemblies in a nuclear reactor core during reloading. The main bounding parameter of the modeling was the neutron multiplication factor, keff. The characteristics of the network...
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| Gepubliceerd in: | Brazilian Journal of Radiation Sciences |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Espanhol |
| Gepubliceerd in: |
Sociedade Brasileira de Proteção Radiológica - SBPR
2019
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| Onderwerpen: | |
| Online toegang: | https://www.redalyc.org/articulo.oa?id=722280898022 |
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