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MARCO TRAPANESE

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

  • Authors: Trapanese, M
  • Publication year: 2011
  • Type: Articolo in rivista (Articolo in rivista)
  • Key words: Magnetic hysteresis, neural nets, physics computing
  • OA Link: http://hdl.handle.net/10447/80506

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.