Classification of tokamak plasma confinement states with convolutional 
recurrent neural networks

Matos, F.; Menkovski, V.; Felici, F.; Pau, A.; Jenko, F.; TCV Team; EUROfusion MST1 Team

Local TagsRelease HistoryDetailsSummary

Classification of tokamak plasma confinement states with convolutional recurrent neural networks

Matos, F., Menkovski, V., Felici, F., Pau, A., Jenko, F., TCV Team, et al. (submitted). Classification of tokamak plasma confinement states with convolutional recurrent neural networks.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0005-BD02-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-E832-A

Genre: Meeting Abstract

Files

show Files

Locators

show

Creators

show

hide

Creators:
Matos, F.¹, Author
Menkovski, V.², Author
Felici, F.², Author
Pau, A.², Author
Jenko, F.¹, Author
TCV Team, Author
EUROfusion MST1 Team, Author

Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309
2External Organizations, ou_persistent22

Content

show

Details

show

hide

Language(s): eng - English

Dates: Submitted: 2019

Publication Status: Submitted

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: -

Degree: -

Event

show

hide

Title: DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP)

Place of Event: Hannover

Start-/End Date: 2020-03-08 - 2020-03-13

Legal Case

show

Project information

show

Source 1

show

hide

Title: Verhandlungen der Deutschen Physikalischen Gesellschaft

Other : Verhandl. DPG

Source Genre: Journal

Creator(s):

Affiliations:

Publ. Info: Bad Honnef : DPG

Pages: - Volume / Issue: (VI) 55 (1) Sequence Number: P 21.4 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195