authors
- Price, David
- Lungaroni, M
- Murari, A
- Peluso, E
- Vega, J
- Farias, G
- Gelfusa, M
On the potential of ruled-based machine learning for disruption prediction on JET
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Overview
status
publication date
- May 2018
has subject area
- 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics (FoR)
- 0913 Mechanical Engineering (FoR)
- 0915 Interdisciplinary Engineering (FoR)
- Energy (Science Metrix)
published in
- Fusion Engineering and Design Journal