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As a result, it is the greatest follow to freeze all layers during the ParallelConv1D blocks and only great-tune the LSTM levels plus the classifier devoid of unfreezing the frozen levels (situation two-a, plus the metrics are proven in case two in Table 2). The levels frozen are regarded as capable of extract typical functions throughout tokamaks, though the rest are regarded as tokamak distinct.
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Within our scenario, the pre-qualified model from the J-Textual content tokamak has currently been confirmed its usefulness in extracting disruptive-related capabilities on J-Textual content. To even more test its capacity for predicting disruptions across tokamaks based on transfer Mastering, a group of numerical experiments is performed on a whole new concentrate on tokamak EAST. In comparison to the J-Textual content tokamak, EAST features a much bigger sizing, and operates in constant-point out divertor configuration with elongation and triangularity, with A lot better plasma overall performance (see Dataset in Methods).
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比特幣的私密金鑰（私鑰，personal essential），作用相當於金融卡提款或消費的密碼，用於證明比特幣的所有權。擁有者必須私密金鑰可以給交易訊息（最常見的，花費比特幣的訊息）簽名，以證明訊息的發佈者是相應地址的所有者，沒有私鑰，就不能給訊息簽名，作為不記名貨幣，網路上無法認得所有權的證據，也就不能使用比特幣，交易時以網路會以公鑰確認，掌握私密金鑰就等於掌握其對應地址中存放的比特幣。
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With the database determined and recognized, normalization is carried out to do away with the numerical variations amongst diagnostics, also to map the inputs to an correct assortment to aid the initialization of the neural network. According to the benefits by J.X. Zhu et al.19, the effectiveness of deep neural community is just weakly dependent on the normalization parameters providing all inputs are mapped to suitable range19. Hence the normalization course of action is performed independently for each tokamaks. As for the two datasets of EAST, the normalization parameters are calculated independently In keeping with various coaching sets. The inputs are normalized With all the z-rating process, which ( X _ rm norm =frac X- rm imply (X) rm std (X) ).
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