Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study (Articolo in rivista) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/TPS.2012.2187682 (literal)

Alternative label

• Andrea Murari; Didier Mazon; N. Martin; Guido Vagliasindi; Michela Gelfusa; JET-EFDA Contributors (2012)
  Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study
  in IEEE transactions on plasma science; IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway (Stati Uniti d'America)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Andrea Murari; Didier Mazon; N. Martin; Guido Vagliasindi; Michela Gelfusa; JET-EFDA Contributors (literal)

Pagina inizio

• 1386 (literal)

Pagina fine

• 1394 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• La rivista è pubblicata anche online con ISSN 1939-9375. Part 2. Article number: 6168847. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6168847 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 40 (literal)

Rivista

• IEEE transactions on plasma science (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 9 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 5 (literal)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1 Consorzio RFX, Associazione EURATOM-ENEA per la Fusione, 35127 Padova, Italy; 2 Association EURATOM-CEA, CEA Cadarache, 13108 Saint-Paul-lés-Durance, France; 3 Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Università degli Studi di Catania, 95125 Catania, Italy, Electronic Systems Division, Col Giovanni Paolo S.P.A. 00133, Italy; 4 Associazione EURATOM-ENEA-University of Rome \"Tor Vergata,\" 00173 Rome, Italy. (Andrea Murari 1; Didier Mazon 2; N. Martin 2; Guido Vagliasindi 3; Michela Gelfusa 4; JET-EFDA Contributors) (literal)

Titolo

• Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study (literal)

Abstract

• A strategy to identify and select the most relevant variables to study problems in the exact sciences, when large databases of data have to be explored, is formulated. It consists of a first exploratory stage, performed mainly with the classification and regression tree method, to determine the list of most relevant signals to be used in the analysis of the phenomenon of interest. A linear correlation technique, followed by a nonlinear correlation technique (principal component analysis and autoassociative neural networks (NNs), respectively), is then applied to reduce the number of signals to the ones containing nonredundant information. The potential of the approach is illustrated by an application to the problem of identifying the confinement regime in the Joint European Torus. The minimum set of signals has been used to train an NN, and its performance is compared with that of various theoretical models. The success rate of the NN is very high, and it generally further outperforms the available theoretical models. (literal)

Editore

• IEEE-Institute Of Electrical And Electronics Engineers Inc. (Editore)

Prodotto di

• Esperimento RFX ed attività collegate (ET.P05.003.001) (Modulo)
• Institute of ionized gas (IGI) (Istituto)

Autore CNR

• ANDREA MURARI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of ionized gas (IGI) (Istituto)
• Esperimento RFX ed attività collegate (ET.P05.003.001) (Modulo)

Autore CNR di

• ANDREA MURARI (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IEEE transactions on plasma science (Rivista)

Editore di

• IEEE-Institute Of Electrical And Electronics Engineers Inc. (Editore)

Insieme di parole chiave di

• Keywords of "Exploratory Data Analysis Techniques to Determine the Dimensionality of Complex Nonlinear Phenomena: The L-to-H Transition at JET as a Case Study" (Insieme di parole chiave)