Improved SVR Model for Multi-Layer Buildup Factor Calculation (CROSBI ID 517156)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Trontl, Krešimir ; Pevec, Dubravko ; Šmuc, Tomislav
engleski
Improved SVR Model for Multi-Layer Buildup Factor Calculation
Buildup factors are key parameters for the accuracy of the point kernel method, which is widely used for gamma ray dose rate calculations in shielding design and radiation safety analysis. Recently, a new compact mathematical model for buildup factor representation has been suggested for embedding into point kernel codes thus replacing traditionally generated complex mathematical expressions. The new regression model is based on Support Vector Machines (SVM) learning technique, which is an extension of Statistical Learning Theory. In this paper, a progress in an ongoing work on creating a compact and accurate model for multi-layer buildup factor representation is presented.
SVR; support vector regression; buildup factor; multi layer shield
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
S8.96.1-S8.96.10-x.
2006.
objavljeno
Podaci o matičnoj publikaciji
Conference Proceedings of the 6th International Conference Nuclear Option in Countries with Small and Medium Electricity Grids
Čavlina, Nikola ; Pevec, Dubravko ; Bajs, Tomislav
Zagreb: Hrvatsko novinarsko društvo (HND)
Podaci o skupu
6th International Conference Nuclear Option in Countries with Small and Medium Electricity Grids
poster
21.05.2006-25.05.2006
Dubrovnik, Hrvatska