Dynamic hysteresis modelling using feed-forward neural networks

Dimitre Makaveev; Luc Dupré; Marc De Wulf; Jan Melkebeek

doi:10.1016/s0304-8853(02)00785-0

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Dynamic hysteresis modelling using feed-forward neural networks

Dimitre Makaveev Luc Dupré Marc De Wulf Jan Melkebeek

Year: 2002 Journal: Journal of Magnetism and Magnetic Materials Vol: 254-255 Pages: 256-258 Publisher: Elsevier BV

DOI: 10.1016/s0304-8853(02)00785-0

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Keywords:

Hysteresis Waveform Artificial neural network Ferromagnetism Magnetic hysteresis Point (geometry) Materials science Computer science Property (philosophy) Control theory (sociology) Biological system Condensed matter physics Magnetization Physics Artificial intelligence Mathematics

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Magnetic Properties and Applications

Physical Sciences → Materials Science → Electronic, Optical and Magnetic Materials

Microstructure and Mechanical Properties of Steels

Physical Sciences → Engineering → Mechanical Engineering

Magnetic properties of thin films

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

Dynamic hysteresis modelling using feed-forward neural networks

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