On Input Vector Representation for the SVR Model of Reactor Core Loading Pattern Critical Parameters (CROSBI ID 539880)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Trontl, Krešimir ; Pevec, Dubravko ; Šmuc Tomislav
engleski
On Input Vector Representation for the SVR Model of Reactor Core Loading Pattern Critical Parameters
In this paper, recently proposed method for fast evaluation of reactor core loading pattern based on novel machine learning technique, Support Vector Regression - SVR, is analysed in respect of two SVR specific application issues: the input vector structure and the SVR parameter influence. The results of the experiments suggest that input vector structure is of secondary interest, and that focus of the research should be pointed to the adaptation of the SVR mechanism, namely optimization of the SVR parameters, to the requirements imposed by the application of the SVR method for the evaluation of core loading pattern.
support vector regression; loading pattern evaluation
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Podaci o prilogu
S-06.90-1-S-06.90-10.
2008.
objavljeno
Podaci o matičnoj publikaciji
7th International Conference on Nuclear Option in Countries with Small and Medium Electricity Grids - Conference Proceedings
Čavlina, Nikola ; Pevec, Dubravko ; Bajs, Tomislav
Zagreb: Hrvatsko nuklearno društvo
978-953-55224-1-6
Podaci o skupu
7th International Conference on Nuclear Option in Countries with Small and Medium Electricity Grids
poster
25.05.2008-29.05.2008
Dubrovnik, Hrvatska