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Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach.
Amodeo, Maria; Arpaia, Pasquale; Buzio, Marco; Di Capua, Vincenzo; Donnarumma, Francesco.
Afiliação
  • Amodeo M; Department of Electronics and Telecommunications (DET), Polytechnic University of Turin, Turin 10129, Italy.
  • Arpaia P; Instrumentation and Measurement Laboratory for Particle Accelerator Laboratory (IMPALab), Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples 80100, Italy.
  • Buzio M; Technology Department, CERN - European Organization for Nuclear Research, 1211 Meyrin, Switzerland.
  • Di Capua V; Instrumentation and Measurement Laboratory for Particle Accelerator Laboratory (IMPALab), Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples 80100, Italy.
  • Donnarumma F; Technology Department, CERN - European Organization for Nuclear Research, 1211 Meyrin, Switzerland.
Int J Neural Syst ; 31(9): 2150033, 2021 Sep.
Article em En | MEDLINE | ID: mdl-34296651
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imãs / Ferro Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imãs / Ferro Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article