Abstract
This paper presents a methodology for identifying reduced vector Preisach model parameters by using neural networks. The neural network used is a multiplayer perceptron trained with the Levenberg-Marquadt training algorithm. The network is trained by some hysteresis data, which are generated by using reduced vector Preisach model with preassigned parameters. It is shown how a properly trained network is able to find the parameters needed to best fit a magnetization hysteresis curve.
Lingua originale | English |
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pagine (da-a) | 3197-3200 |
Rivista | IEEE Transactions on Magnetics |
Volume | 44 |
Stato di pubblicazione | Published - 2008 |
All Science Journal Classification (ASJC) codes
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- ???subjectarea.asjc.2200.2208???