Yayın: Prediction of dynamic hysteresis loops of nano-crystalline cores
Tarih
Kurum Yazarları
Hacıismailoğlu, Muhammed Cüneyt
Küçük, İlker Semih
Derebaşı, Naim
Yazarlar
Danışman
Dil
Türü
Yayıncı:
Pergamon-Elsevier Science
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
Dynamic hysteresis loops of a range of nano-crystalline cores have been obtained over a wide frequency range (1-50 kHz). A dynamic hysteresis model front measurements using an artificial neural network trained by the delta-bar-delta learning algorithm has been developed. The input parameters include the geometrical dimensions of cores, peak magnetic induction and magnetizing frequency. The results show the neural network model has an acceptable estimation capability for dynamic hysteresis loops of toroidal nano-crystalline cores.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
Dynamic hysteresis modelling, Nano-crystalline cores, Neural network, Toroidal cores, Computer science, Engineering, Operations research & management science, Crystalline materials, Hysteresis loops, Magnetic levitation vehicles, Magnetic materials, Neural networks, Delta-bar-delta, Dynamic hysteresis loops, Dynamic hysteresis modeling, Dynamic hysteresis modelling, Geometrical dimensions, Nanocrystalline cores, Neural network model, Wide frequency range, Hysteresis
Alıntı
Hacıismailoğlu, M. C. vd. (2009). "Prediction of dynamic hysteresis loops of nano-crystalline cores". Expert Systems with Applications, 36(2), Part 1, 2225-2227.