Article ID Journal Published Year Pages File Type
388635 Expert Systems with Applications 2010 5 Pages PDF
Abstract

In this paper, recurrent neural networks (RNNs) were presented for the computation of minor actinides’ transmutation with reactor’s operation period. The results of the RNNs implemented for the computation of the change in the atomic density of minor actinides (237Np, 241Am, 242Cm, 238Pu, 239Pu) and the results available in the literature obtained by using Scale 4.3 (Übeyli, 2004) were compared. The results brought out that the proposed RNNs could provide an accurate computation of the atomic densities of minor actinides of the hybrid reactor with respect to operation period of reactor.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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