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.
|Numero di pagine||3|
|Rivista||Journal of Applied Physics|
|Stato di pubblicazione||Published - 2011|
All Science Journal Classification (ASJC) codes