Classifier based on support vector machine for JET plasma configurations

S. Dormido-Canto; G. Farias; J. Vega; R. Dormido; J. Sánchez; N. Duro; H. Vargas; A. Murari

doi:10.1063/1.2972023

Classifier based on support vector machine for JET plasma configurations

S. Dormido-Canto, G. Farias, J. Vega, R. Dormido, J. Sánchez, N. Duro, H. Vargas, A. Murari

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

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%.

Idioma original	Inglés
Número de artículo	10F326
Publicación	Review of Scientific Instruments
Volumen	79
N.º	10
DOI	https://doi.org/10.1063/1.2972023
Estado	Publicada - 2008
Publicado de forma externa	Sí

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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%.",

author = "S. Dormido-Canto and G. Farias and J. Vega and R. Dormido and J. S{\'a}nchez and N. Duro and H. Vargas and A. Murari",

note = "Funding Information: This work, supported by the European Communities under the contract of Association between EURATOM/CIEMAT, was carried out within the framework of the European Fusion Development Agreement. The views and opinions expressed herein do not necessarily reflect those of the European Commission.",

year = "2008",

doi = "10.1063/1.2972023",

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AU - Dormido-Canto, S.

AU - Farias, G.

AU - Vega, J.

AU - Dormido, R.

AU - Sánchez, J.

AU - Duro, N.

AU - Vargas, H.

AU - Murari, A.

N1 - Funding Information: This work, supported by the European Communities under the contract of Association between EURATOM/CIEMAT, was carried out within the framework of the European Fusion Development Agreement. The views and opinions expressed herein do not necessarily reflect those of the European Commission.

PY - 2008

Y1 - 2008

N2 - 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%.

AB - 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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JO - Review of Scientific Instruments

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Classifier based on support vector machine for JET plasma configurations

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