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Toplam kayıt 4, listelenen: 1-4
Estimations of level density parameters by using artificial neural network for phenomenological level density models
(Applied Radiation and Isotopes, 2021)
The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...
Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium
(Applied Radiation and Isotopes, 2021)
A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...
Photo-neutron cross-section calculations of 54,56Fe, 90,91,92,94Zr, 93Nb and 107Ag isotopes with newly obtained giant dipole resonance parameters
(Applied Radiation and Isotopes, 2020)
The knowledge of the interaction of photons with matter is of vital importance to investigate fundamental nu- clear physics problems. Giant dipole resonance (GDR) mechanism is dominant up to 30 MeV at photo-absorption ...
Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...