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• W1461347139 abstract "This paper presents a new approach for incorporating the thermal effect on the magnetic hysteresis of the 3F3 material. The proposed algorithm is based on the knowledge of the magnetic flux density spectrum for some temperatures. So, a feed-forward neural network is trained to learn the relation between the rank of harmonics, the temperature and the amplitude of each harmonic. To construct the hysteresis loop for a new value of the temperature, the neural network predicts the spectrum of the magnetic flux density B which is transformed back to the time domain." @default.
• W1461347139 created "2016-06-24" @default.
• W1461347139 creator A5050036340 @default.
• W1461347139 date "2014-06-01" @default.
• W1461347139 modified "2023-09-27" @default.
• W1461347139 title "Neural network based model for incorporating the thermal effect on the magnetic hysteresis of the 3F3 material" @default.
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• W1461347139 doi "https://doi.org/10.3233/jae-141778" @default.
• W1461347139 hasPublicationYear "2014" @default.
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