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We educate a design to the J-TEXT tokamak and transfer it, with only twenty discharges, to EAST, which has a significant variation in size, operation routine, and configuration with regard to J-TEXT. Results exhibit that the transfer Finding out approach reaches an analogous efficiency on the product skilled immediately with EAST employing about 19
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You signed in with another tab or window. Reload to refresh your session. You signed out in An additional tab or window. Reload to refresh your session. You switched accounts on One more tab or window. Reload to refresh your session.We created the deep Discovering-based mostly FFE neural community structure determined by the idea of tokamak diagnos
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Our deep learning model, or disruption predictor, is produced up of a characteristic extractor as well as a classifier, as is demonstrated in Fig. 1. The characteristic extractor includes ParallelConv1D layers and LSTM layers. The ParallelConv1D levels are built to extract spatial capabilities and temporal capabilities with a comparatively smaller
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