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Sep, 2023
基于特征的迁移学习方法预测未来托卡马克反应堆的干扰
Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation
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Chengshuo Shen, Wei Zheng, Bihao Guo, Dalong Chen, Xinkun Ai...
TL;DR
通过领域适应算法CORAL,本研究在未来托卡马克上应用了少量数据进行破裂预测,改进了CORAL以提高性能,并通过解释性分析证明了其与基于大数据的模型的相似性。
Abstract
The high acquisition cost and the significant demand for disruptive discharges for
data-driven
disruption prediction
models in future tokamaks pose an inherent contradiction in
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