An automatic identifier of confinement regimes at JET combining fuzzy logic and classification trees

G. Vagliasindi, P. Arena, L. Fortuna, A. Murari, G. Mazzitelli, A. Gallo, U. Vagliasindi

Research output: Contribution to conferencePaper

Abstract

In modern thermonuclear fusion devices it is possible to distinguish distinct types of plasma confinement regimes which have different performance in terms of confinement time. Discriminating among them could represent a useful feature for an efficient control of a plasma experiment. An automatic identifier based on fuzzy logic is here proposed together with an unsupervised technique, using classification and regression trees, for selecting, among several diagnostic signals available, the inputs to be provided to the identifier.
Original languageEnglish
Publication statusPublished - 2008
Externally publishedYes
Event16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 - , Belgium
Duration: 1 Jan 2008 → …

Conference

Conference16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008
CountryBelgium
Period1/1/08 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

Cite this

Vagliasindi, G., Arena, P., Fortuna, L., Murari, A., Mazzitelli, G., Gallo, A., & Vagliasindi, U. (2008). An automatic identifier of confinement regimes at JET combining fuzzy logic and classification trees. Paper presented at 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008, Belgium.