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A warning time of five ms is more than enough for the Disruption Mitigation Procedure (DMS) to take effect on the J-TEXT tokamak. To make sure the DMS will acquire impact (Large Gas Injection (MGI) and upcoming mitigation procedures which would take a longer time), a warning time more substantial than ten ms are regarded powerful.

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Subsequently, it is the best apply to freeze all layers within the ParallelConv1D blocks and only good-tune the LSTM layers and the classifier without having unfreezing the frozen levels (case 2-a, along with the metrics are revealed in the event 2 in Desk two). The levels frozen are deemed able to extract standard features across tokamaks, when The remainder are regarded as tokamak unique.

The purpose of this exploration will be to Enhance the disruption prediction efficiency on target tokamak with typically know-how from your source tokamak. The design efficiency on concentrate on domain mostly depends on the performance on the design inside the source domain36. So, we very first require to get a large-general performance pre-skilled model with J-TEXT data.

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