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人工智能将带来怎样的学习未来—基于国际教育核心期刊和发展报告的质性元分析研究
Mixing details from both of those focus on and present devices is A method of transfer Discovering, occasion-based transfer Understanding. But the knowledge carried with the constrained info from your target machine can be flooded by facts from the present equipment. These is effective are performed among tokamaks with similar configurations and sizes. Nonetheless, the gap among foreseeable future tokamak reactors and any tokamaks current currently is incredibly large23,24. Measurements on the device, Procedure regimes, configurations, attribute distributions, disruption brings about, attribute paths, and also other components will all consequence in several plasma performances and diverse disruption processes. Hence, On this function we selected the J-Textual content plus the EAST tokamak which have a substantial big difference in configuration, operation routine, time scale, aspect distributions, and disruptive will cause, to display the proposed transfer Understanding technique.
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An gathered percentage of disruption predicted vs . warning time is demonstrated in Fig. 2. All disruptive discharges are successfully predicted devoid of taking into consideration tardy and early alarm, whilst the SAR arrived at ninety two.73%. To further more achieve physics insights and to investigate just what the design is learning, a sensitivity Assessment is utilized by retraining the product with one particular or a number of alerts of the identical form omitted at a time.