Magnetic hysteresis modelling plays a crucial role in determining the electromagnetic properties of soft magnetic materials. A new approach to modelling is the use of recurrent neural networks, capable of time dependent, dynamic, sequential mapping. This research investigates the implementation and accuracy of this approach among other available hysteresis models. / thesis (MEng(ElectronicsEngineering))--University of South Australia, 2004.
| Identifer | oai:union.ndltd.org:ADTP/284176 |
| Date | January 2004 |
| Creators | Saghafifar, Mahmoud |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | Copyright 2004 Mahmoud Saghafifar |
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