Machine learning for disruption warnings on Alcator C-Mod, DIII-D, and EAST-Reference-Cited by-同舟云学术

Machine learning for disruption warnings on Alcator C-Mod, DIII-D, and EAST

Published:2019-07-23 Issue:9 Volume:59 Page:096015
ISSN:0029-5515
Container-title:Nuclear Fusion
language:
Short-container-title:Nucl. Fusion

Author:

Montes K.J.^ORCID,Rea C.^ORCID,Granetz R.S.,Tinguely R.A.^ORCID,Eidietis N.^ORCID,Meneghini O.M.,Chen D.L.,Shen B.,Xiao B.J.,Erickson K.,Boyer M.D.^ORCID

Funder

Office of Science

National MCF Energy R&D Program of China

Publisher

IOP Publishing

Subject

Condensed Matter Physics,Nuclear and High Energy Physics

Link

http://iopscience.iop.org/article/10.1088/1741-4326/ab1df4/pdf

Reference28 articles.

1. Unbiased and non-supervised learning methods for disruption prediction at JET

2. An advanced disruption predictor for JET tested in a simulated real-time environment

3. Development of an efficient real-time disruption predictor from scratch on JET and implications for ITER

4. Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

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