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%. © 2008 American Institute of Physics.
All Science Journal Classification (ASJC) codes
Dormido-Canto, S., Farias, G., Vega, J., Dormido, R., Sánchez, J., Duro, N., ... Murari, A. (2008). Classifier based on support vector machine for JET plasma configurations. Review of Scientific Instruments, 79(10), -. [10F326]. https://doi.org/10.1063/1.2972023