Classifier based on support vector machine for JET plasma configurations

Classifier based on support vector machine for JET plasma configurations

Classifier based on support vector machine for JET plasma configurations 150 150 UKAEA Opendata

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%.

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31/10/2008