Vector Hysteresis Modeling in Arbitrarily Shaped Objects Using an Energy Minimization Approach
It is known that proper and efficient modeling of vector hysteresis is crucial to the precise design and performance estimation of electric power devices and magnetic recording processes. Recently, discrete Hopfield neural networks have been successfully utilized in the construction of vector hyster...
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Veröffentlicht in: | Applied Computational Electromagnetics Society journal 2016-07, Vol.31 (7), p.765 |
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Format: | Artikel |
Sprache: | eng |
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