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Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model

Detalles Bibliográficos
Autores principales: Grech, Christian, Buzio, Marco, Pentella, Mariano, Sammut, Nicholas
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.3390/ma13112561
http://cds.cern.ch/record/2725885
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author Grech, Christian
Buzio, Marco
Pentella, Mariano
Sammut, Nicholas
author_facet Grech, Christian
Buzio, Marco
Pentella, Mariano
Sammut, Nicholas
author_sort Grech, Christian
collection CERN
id oai-inspirehep.net-1799550
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling oai-inspirehep.net-17995502022-08-10T12:19:59Zdoi:10.3390/ma13112561http://cds.cern.ch/record/2725885engGrech, ChristianBuzio, MarcoPentella, MarianoSammut, NicholasDynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network ModelDetectors and Experimental Techniquesoai:inspirehep.net:17995502020
spellingShingle Detectors and Experimental Techniques
Grech, Christian
Buzio, Marco
Pentella, Mariano
Sammut, Nicholas
Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title_full Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title_fullStr Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title_full_unstemmed Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title_short Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
title_sort dynamic ferromagnetic hysteresis modelling using a preisach-recurrent neural network model
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.3390/ma13112561
http://cds.cern.ch/record/2725885
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AT buziomarco dynamicferromagnetichysteresismodellingusingapreisachrecurrentneuralnetworkmodel
AT pentellamariano dynamicferromagnetichysteresismodellingusingapreisachrecurrentneuralnetworkmodel
AT sammutnicholas dynamicferromagnetichysteresismodellingusingapreisachrecurrentneuralnetworkmodel