Neural network regression approaches to reconstruct properties of magnetic 
configuration from Wendelstein 7-X modeled heat load patterns

Blatzheim, M.; Böckenhoff, D.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society

doi:10.1088/1741-4326/ab4123

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Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7-X modeled heat load patterns

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Blatzheim, M.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;
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Böckenhoff, D.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Blatzheim, M., Böckenhoff, D., & W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society (2019). Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7-X modeled heat load patterns. Nuclear Fusion, 59: 126029. doi:10.1088/1741-4326/ab4123.

Cite as: https://hdl.handle.net/21.11116/0000-0004-DCC8-3

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