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A Neural Network Model for the Tomographic Analysis of Irradiated Nuclear Fuel Rods

Domenii publicaţii > Fizica + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: T. Craciunescu

Editorial: Nuclear Technology, 146-1, p.65-71, 2004.

Rezumat:

A tomographic method based on a multilayer feed-forward artificial neural network is proposed for the reconstruction of gamma-radioactive fission products distribution in irradiated nuclear fuel rods. The quality of the method is investigated as compared to a conventional technique on experimental results concerning a CANDU-type fuel rod irradiated in a TRIGA reactor.

Cuvinte cheie: nuclear technology