Browsing by Subject "Yapay sinir ağları"
Now showing items 1-7 of 7
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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. ... -
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 ... -
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 ... -
Ionic current estimations from cardiac action potentials by using single and multi-output regression models
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2022)Conventional experimental procedures for capturing the dynamics of ion channels are not at all times possible, and when they are, they can be time-consuming. Using an artificial neural network (ANN) the aim is to predict ... -
A pilot study of ion current estimation by ANN from action potential waveforms
(Journal of Biological Physics, 2022)Experiments using conventional experimental approaches to capture the dynamics of ion channels are not always feasible, and even when possible and feasible, some can be timeconsuming. In this work, the ionic current–time ... -
Streamflow and sediment load prediction using linear genetic programming
(Uludağ University Journal of The Faculty of Engineering, 2018)Daily flow and suspended sediment discharge are two major hydrological variables that affect rivers’ morphology and ecosystem, particularly during flood events. Artificial neural networks (ANNs) have been successfully used ... -
Yapay sinir ağları tahminleme modeli ile hisse senedi fiyat endeksi tahminlemesi üzerine bir çalışma
(Antalya Bilim Üniversitesi Uluslararası Sosyal Bilimler Dergisi, 2022)Menkul kıymetler piyasasında hisse senedi fiyat endekslerinin gelecekteki değerlerinin tahmin edilmesi için yapay sinir ağlarını esas alan iki farklı modelleme yaklaşımı sunulmaktadır. Birinci tahminleme modelinde, ...