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คลังคำศัพท�?คำศัพท์พวกนี้ต่างกันอย่างไ�?这些词语有什么区别
The analyze is performed to the J-TEXT and EAST disruption database dependant on the preceding work13,51. Discharges with the J-TEXT tokamak are used for validating the usefulness from the deep fusion function extractor, in addition to giving a pre-trained model on J-Textual content for further transferring to predict disruptions in the EAST tokamak. To be certain the inputs from the disruption predictor are kept the identical, 47 channels of diagnostics are chosen from both J-TEXT and EAST respectively, as is demonstrated in Desk four.
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When picking, the consistency across discharges, as well as in between the two tokamaks, of geometry and look at in the diagnostics are regarded as A great deal as possible. The diagnostics are able to address The everyday frequency of 2/one tearing modes, the cycle of sawtooth oscillations, radiation asymmetry, together with other spatial and temporal facts lower degree sufficient. Because the diagnostics bear various Actual physical and temporal scales, diverse sample fees are selected respectively for different diagnostics.
The deep neural network product is created without contemplating options with distinctive time scales and dimensionality. All diagnostics are resampled to a hundred kHz and are fed in the model specifically.
All discharges are break up into consecutive temporal sequences. A time threshold right before disruption is defined for different tokamaks in Desk five to indicate the precursor of the disruptive discharge. The “unstable�?sequences of disruptive discharges are labeled as “disruptive�?and also other sequences from non-disruptive discharges are labeled as “non-disruptive�? To find out some time threshold, we to start with received a time span dependant on prior discussions and consultations with tokamak operators, who presented worthwhile insights to the time span in which disruptions can be reliably predicted.
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Tokamaks are the most promising way for nuclear fusion reactors. Disruption in tokamaks can be a violent celebration that terminates a confined plasma and will cause unacceptable harm to the product. Device learning styles happen to be extensively utilized to predict incoming disruptions. On the other hand, long term reactors, with Substantially higher stored Electrical power, can't give ample unmitigated disruption data at large functionality to train the predictor just before harmful by themselves. Below we utilize a deep parameter-based transfer Studying strategy in disruption prediction.
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该基金会得到了比特币行业相关公司和个人的支持，包括交易所、钱包、支付处理器和软件开发人员。它还为促进其使命的项目提供赠款。四项原则指导着比特币基金会的工作：用户隐私和安全；金融包容性；技术标准与创新；以及对资源负责任的管理。