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  Multi-class disruption prediction at JET using a shapelet based neural-network

Artigues, V., Jenko, F., & JET Contributors (2021). Multi-class disruption prediction at JET using a shapelet based neural-network. Talk presented at DPG-Tagung der Sektion Materie und Kosmos (SMuK). Virtual. 2021-08-30 - 2021-09-03.

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 Creators:
Artigues, V.1, Author           
Jenko, F.1, Author           
JET Contributors, Author              
Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: DPG-Tagung der Sektion Materie und Kosmos (SMuK)
Place of Event: Virtual
Start-/End Date: 2021-08-30 - 2021-09-03

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Title: Verhandlungen der Deutschen Physikalischen Gesellschaft
  Other : Verhandl. DPG
Source Genre: Journal
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Publ. Info: Bad Honnef : DPG
Pages: - Volume / Issue: (VI) 56 (5) Sequence Number: P 13.2 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195