Hybrid neural network for density limit disruption prediction and avoidance on J-TEXT tokamak

Increasing the plasma density is one of the key methods in achieving an efficient fusion reaction. High-density operation is one of the hot topics in tokamak plasmas. Density limit disruptions remain an important issue for safe operation. An effective density limit disruption prediction and avoidanc...

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Veröffentlicht in:	Nuclear fusion 2018-05, Vol.58 (5), p.56016
Hauptverfasser:	Zheng, W., Hu, F.R., Zhang, M., Chen, Z.Y., Zhao, X.Q., Wang, X.L., Shi, P., Zhang, X.L., Zhang, X.Q., Zhou, Y.N., Wei, Y.N., Pan, Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	density limit disruption disruption prediction neural network real-time
Online-Zugang:	Volltext
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