Dynamic hysteresis modelling for nano-crystalline cores


KÜÇÜK İ. , HACIİSMAİLOĞLU M. C. , DEREBAŞI N.

EXPERT SYSTEMS WITH APPLICATIONS, vol.36, no.2, pp.3188-3190, 2009 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 2
  • Publication Date: 2009
  • Doi Number: 10.1016/j.eswa.2008.01.084
  • Title of Journal : EXPERT SYSTEMS WITH APPLICATIONS
  • Page Numbers: pp.3188-3190

Abstract

This paper presents all artificial neural network approach based oil dynamic Preisach model to compute hysteresis loops of nano-crystalline cores. The network has been trained by a Levenberg-Marquardt learning algorithm. The model is fast and does not require tremendous computational efforts. The results obtained by using the proposed model are in good agreement with experimental results. (C) 2008 Elsevier Ltd. All rights reserved.