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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 ...
Estimations for the production cross sections of medical 61, 64, 67Cu radioisotopes by using bayesian regularized artificial neural networks in (p, α) reactions
(Arabian Journal of Science and Engineering, 2023)
Copper (Cu), which is produced in cyclotrons or reactors, is a significant tracer in the human body. Bayesian regularized artificial neural networks (ANNs) algorithm, which is one of the ANN approaches, was used in analyzing ...
Calculations of GDR parameters for deformed nuclei using LogitBoost classifier and artificial neural network
(Modern Physics Letters A, 2022)
Photo-nuclear interactions are important for investigating fundamental nuclear physics phenomena. The photo-absorption cross-section energy curve displays a wide resonance called giant dipole resonance (GDR) until 30 MeV. ...
