title: Classifier based on support vector machine for JET plasma configurations.
abstract: 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%.
authors.affiliation: Departamento de Informática y Automática, UNED, C/Juan del Rosal 16, 5a. 28040 Madrid, Spain.
authors.forename: S
authors.initials: S
authors.lastname: Dormido-Canto
authors.forename: G
authors.initials: G
authors.lastname: Farias
authors.forename: J
authors.initials: J
authors.lastname: Vega
authors.forename: R
authors.initials: R
authors.lastname: Dormido
authors.forename: J
authors.initials: J
authors.lastname: Sánchez
authors.forename: N
authors.initials: N
authors.lastname: Duro
authors.forename: H
authors.initials: H
authors.lastname: Vargas
authors.forename: A
authors.initials: A
authors.lastname: Murari