An interpretable disruption predictor on EAST using improved XGBoost and SHAP

An interpretable disruption predictor on EAST using improved XGBoost and SHAP

The development of a disruption predictor using a data-driven solution is an effective way to avoid or mitigate tokamak device disruptions. The black-box nature of the model itself determines the agnostic nature of its decision base and becomes a key factor limiting the further development of disrup...

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Bibliographic Details
Main Authors: D.M. Liu, X.L. Zhu, Y.S. Jiang, S. Wang, S.B. Shu, B. Shen, B.H. Guo, L.C. Liu
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
disruption prediction
EAST
XGBoost
SHAP
Online Access:https://doi.org/10.1088/1741-4326/adeea8
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