Research Information System
Afyon Kocatepe University Journal of Science and Engineering, vol.17, pp.426-431, 2017 (Peer-Reviewed Journal)
Several experimental and thoretical methods are applied for obtaining giant dipole resonance (GDR) parameters. In this study, GDR energies for Sn and U isotopes have been predicted by using artificial neural network (ANN) method. According to the results, in the training of the ANN, the mean deviations from the experimental values are in the order of 1%. The mean square error for the estimated energies of Sn and U isotopes is 0.034 MeV. Similar error value belonging to a theoretical model calculation is 0.061 MeV. This result indicates that ANN predictions on GDR energy give better results according to the theoretical results.