Corrigendum: Hybrid deep learning architecture for general disruption prediction across tokamaks (2021 Nucl. Fusion61 026007). (15th March 2021)

Record Type:: Journal Article
Title:: Corrigendum: Hybrid deep learning architecture for general disruption prediction across tokamaks (2021 Nucl. Fusion61 026007). (15th March 2021)
Main Title:: Corrigendum: Hybrid deep learning architecture for general disruption prediction across tokamaks (2021 Nucl. Fusion61 026007)
Authors:: Zhu, J. X.
Rea, C.
Montes, K.
Granetz, R. S.
Sweeney, R.
Tinguely, R. A.
Abstract:
Is Part Of:: Nuclear fusion. Volume 61:Number 4(2021)
Journal:: Nuclear fusion
Issue:: Volume 61:Number 4(2021)
Issue Display:: Volume 61, Issue 4 (2021)
Year:: 2021
Volume:: 61
Issue:: 4
Issue Sort Value:: 2021-0061-0004-0000
Page Start:
Page End:
Publication Date:: 2021-03-15
Subjects:: disruption -- prediction -- machine learning -- stability -- tokamak
Nuclear fusion -- Periodicals
621.48405
Journal URLs:: http://www.iop.org/EJ/journal/0029-5515 ↗
http://iopscience.iop.org/0029-5515/ ↗
http://ioppublishing.org/ ↗
DOI:: 10.1088/1741-4326/abe2e3 ↗
Languages:: English
ISSNs:: 0029-5515
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:: 15977.xml