Classifier based on support vector machine for JET plasma configurations

S. Dormido-Canto, GONZALO ALBERTO FARIAS CASTRO, J. Vega, R. Dormido, J. Sánchez, N. Duro, H. Vargas, A. Murari

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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%.

Original languageEnglish
Article number10F326
JournalReview of Scientific Instruments
Volume79
Issue number10
DOIs
StatePublished - 10 Nov 2008

Fingerprint Dive into the research topics of 'Classifier based on support vector machine for JET plasma configurations'. Together they form a unique fingerprint.

Cite this