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A Neural Network Model for the Tomographic Analysis of Irradiated Nuclear Fuel Rods
Volume 146 · Number 1 · April 2004 · Pages 65-71
Technical Paper · Fuel Cycle and Management
Teddy Craciunescu
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A tomographic method based on a multilayer feed-forward artificial neural network is proposed for the reconstruction of gamma-radioactive fission product distribution in irradiated nuclear fuel rods. The quality of the method is investigated as compared to a conventional technique on experimental results concerning a Canada deuterium uranium reactor (CANDU)-type fuel rod irradiated in a TRIGA reactor.
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