Abstract
In this study, we propose an adaptive recurrent 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.
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Rastovic, D. Targeting and synchronization at tokamak with recurrent artificial neural networks. Neural Comput & Applic 21, 1065–1069 (2012). https://doi.org/10.1007/s00521-011-0527-4
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DOI: https://doi.org/10.1007/s00521-011-0527-4