Identification of parameters of the Jiles-Atherton model by neural networks

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Abstract

In this paper a procedure for the identification of the parameters of the Jiles-Atherton (JA) model is presented. The parameters of the JA model of a material are found by using a neural network trained by a collection of hysteresis curves, whose parameters are known. After a presentation of the Jiles-Atherton model, the neural network and the training procedure are described and the method is validated by using some numerical, as well as experimental, data.
Lingua originaleEnglish
pagine (da-a)07D355-1-07D355-3
Numero di pagine3
RivistaJournal of Applied Physics
Volume109
Stato di pubblicazionePublished - 2011

All Science Journal Classification (ASJC) codes

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