6533b825fe1ef96bd1281f36
RESEARCH PRODUCT
Identification of parameters of dynamic Preisach model by neural networks
Marco Trapanensesubject
Set (abstract data type)HysteresisIdentification (information)Training setArtificial neural networkComputer scienceGeneral Physics and AstronomyExperimental dataMagnetic hysteresisAlgorithmdescription
In this paper, an approach that allows to identify the parameters of dynamic Preisach model is presented. The fundamental idea of this method is to identify the parameters of a material by using a neural network trained by a collection of hysteresis curves, whose Preisach model is known. After a brief description of dynamic Preisach Model, the neural network that has been used is introduced. The construction of the training data set is illustrated. Finally, the effectiveness of the method is tested on both numerical as well as experimental data.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2008-04-01 |