Classifier based on support vector machine for JET plasma configurations.
The last flux surface can be used to identify the plasma configuration of discharges. For automated recognition of JET configurations, a learning system based on support vector machines has been developed. Each configuration is described by 12 geometrical parameters. A multiclass system has been developed by means of the one-versus-the-rest approach. Results with eight simultaneous classes (plasma configurations) show a success rate close to 100%.
Dormido-Canto
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Departamento de Informática y Automática, UNED, C/Juan del Rosal 16, 5a. 28040 Madrid, Spain.
Farias
G
G
Vega
J
J
Dormido
R
R
Sánchez
J
J
Duro
N
N
Vargas
H
H
Murari
A
A