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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

Trontl, Krešimir ; Pevec, Dubravko ; Šmuc Tomislav On Input Vector Representation for the SVR Model of Reactor Core Loading Pattern Critical Parameters // 7th International Conference on Nuclear Option in Countries with Small and Medium Electricity Grids - Conference Proceedings / Čavlina, Nikola ; Pevec, Dubravko ; Bajs, Tomislav (ur.). Zagreb: Hrvatsko nuklearno društvo, 2008. str. S-06.90-1-S-06.90-10

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

Povezanost rada

Elektrotehnika