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Targeting and synchronization at tokamak with recurrent artificial neural networks (CROSBI ID 168911)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Rastović, Danilo Targeting and synchronization at tokamak with recurrent artificial neural networks // Neural computing and applications, 21 (2012), 5; 1065-1069. doi: 10.1007/s00521-011-0527-4

Podaci o odgovornosti

Rastović, Danilo

engleski

Targeting and synchronization at tokamak with recurrent artificial neural networks

In this letter, we propose an adaptive recurrent artificial neural networks synchronization of H-mode and Edge Localized Modes that is important for obtaining a long pulse tokamak without disruption regime. The deterministic part of the plasma behavior should be synchronized with stochastic part by introducing stochastic artificial neural network.

tokamak; synchronization; recurrent artificial neural networks

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Podaci o izdanju

21 (5)

2012.

1065-1069

objavljeno

0941-0643

10.1007/s00521-011-0527-4

Povezanost rada

Strojarstvo

Poveznice
Indeksiranost