On the potential of ruled-based machine learning for disruption prediction on JET

by M. Lungaroni, A. Murari, E. Peluso, J. Vega, G. Farias, M. Gelfusa, JET Contributors
Reference:
On the potential of ruled-based machine learning for disruption prediction on JET (M. Lungaroni, A. Murari, E. Peluso, J. Vega, G. Farias, M. Gelfusa, JET Contributors), In FUSION ENGINEERING AND DESIGN, volume 130, 2018.
Bibtex Entry:
@article{ ISI:000432609600011,
Author = {Lungaroni, M. and Murari, A. and Peluso, E. and Vega, J. and Farias, G.
   and Gelfusa, M. and JET Contributors},
Title = {{On the potential of ruled-based machine learning for disruption
   prediction on JET}},
Journal = {{FUSION ENGINEERING AND DESIGN}},
Year = {{2018}},
Volume = {{130}},
Pages = {{62-68}},
Month = {{MAY}},
DOI = {{10.1016/j.fusengdes.2018.02.087}},
ISSN = {{0920-3796}},
EISSN = {{1873-7196}},
ORCID-Numbers = {{Lungaroni, Michele/0000-0002-1500-363X
   Vega, Jesus/0000-0002-1622-3984}},
Unique-ID = {{ISI:000432609600011}},
}

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