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The analyze is executed around the J-TEXT and EAST disruption database according to the prior work13,51. Discharges through the J-Textual content tokamak are employed for validating the usefulness with the deep fusion aspect extractor, as well as offering a pre-qualified design on J-TEXT for additional transferring to predict disruptions with the EAST tokamak. To make certain the inputs with the disruption predictor are held exactly the same, 47 channels of diagnostics are selected from the two J-TEXT and EAST respectively, as is shown in Table 4.
¥符号由拉丁字母“Y”和平行水平线组成。使用拉丁字母“Y”的原因是因为“圆”的中文和日語在英文中的拼写“yuan”和“yen”的起始字母都是“Y”。
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To be able to validate whether the product did seize standard and common patterns among the unique tokamaks Despite having terrific dissimilarities in configuration and Procedure routine, together with to examine the position that each Portion of the model played, we further more built extra numerical experiments as is shown in Fig. 6. The numerical experiments are made for interpretable investigation from the transfer model as is explained in Desk three. In each case, another Element of the design is frozen. Just in case 1, The underside levels with the ParallelConv1D blocks are frozen. Just in case 2, all levels on the ParallelConv1D blocks Visit Website are frozen. In the event 3, all levels in ParallelConv1D blocks, plus the LSTM layers are frozen.
The pre-qualified design is taken into account to obtain extracted disruption-similar, small-amount capabilities that could enable other fusion-relevant duties be figured out better. The pre-properly trained aspect extractor could greatly lower the quantity of info necessary for coaching operation method classification and also other new fusion investigate-linked duties.
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