FusionPapers
図版検索トレンドwiki日本の研究
© 2026 FUSIONPAPERS
About法務情報
トップに戻る

On the potential of ruled-based machine learning for disruption prediction on JET

M. Lungaroni, A. Murari, E. Peluso, J. Vega, M. Gelfusa2018年Fusion Engineering and DesignIF 1.7出版社

装置

jet高精度(タイトル一致)

wiki

JETPlasma disruptionDisruption prediction
この論文にはまだAI要約がありません。

関連論文

Support vector machines for disruption prediction and novelty detection at JET

2007Fusion Engineering and Design

Disruption predictor based on neural network and anomaly detection on J-TEXT

2020Plasma Physics and Controlled Fusion

A database for developing machine learning based disruption predictors

2020Fusion Engineering and Design

Improved feature selection based on genetic algorithms for real time disruption prediction on JET

2012Fusion Engineering and Design

Interpretation of machine-learning-based disruption models for plasma control

2017Plasma Physics and Controlled Fusion

Determining the prediction limits of models and classifiers with applications for disruption prediction in JET

2017Nuclear Fusion

A multidimensional linear model for disruption prediction in JET

2019Fusion Engineering and Design

Feature selection for disruption prediction from scratch in JET by using genetic algorithms and probabilistic predictors

2015Fusion Engineering and Design

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

2019Nuclear Fusion

CNN disruption predictor at JET: Early versus late data fusion approach

2023Fusion Engineering and Design