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.