Pregled bibliografske jedinice broj: 1123348
Point Kernel Modification Including Support Vector Regression Neutron Buildup Factor Models
Point Kernel Modification Including Support Vector Regression Neutron Buildup Factor Models // Energija : časopis Hrvatske elektroprivrede, 68 (2019), 2-3; 156-170 (međunarodna recenzija, članak, znanstveni)
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Naslov
Point Kernel Modification Including Support Vector Regression Neutron Buildup Factor Models
Autori
Dučkić, Paulina ; Trontl, Krešimir ; Grgić, Davor ; Matijević, Mario
Izvornik
Energija : časopis Hrvatske elektroprivrede (0013-7448) 68
(2019), 2-3;
156-170
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
radiation shielding calculation ; SVR neutron buildup factor model
Sažetak
This work presents the results of radiation shielding calculations using modified point kernel code QAD-CGGP. The modification includes a new approach to neutron buildup factor estimations based on machine learning technique called Support vector regression (SVR). SVR neutron buildup factor models for common shielding materials are developed and built into the QAD-CGGP. The development of the models consisted of acquiring the data to be used for learning the model, optimizing the SVR parameters, and application of active learning methods for improving the learning process. The modified code is tested, and the results are compared with the MCNP6 results.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Uključenost u ostale bibliografske baze podataka::
- INSPEC
