Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
388635 | Expert Systems with Applications | 2010 | 5 Pages |
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
Authors
Mustafa Übeylï, Elif Derya Übeylï,