Yayın: Computational modeling of glass forming ability and critical diameter of magnetic bulk amorphous alloys
Tarih
Kurum Yazarları
Kabaer, Mehmet
Küçük, İlker Semih
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Springer
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Özet
This paper presents a new approach based on an artificial neural network (ANN) and a genetic algorithm to compute the glass forming ability of magnetic bulk amorphous alloys using previously reported data in the literature. The developed network has been trained using the genetic algorithm and Levenberg-Marquardt algorithm. The model can assist in predicting the relation between the chemical compositions and the glass forming ability of magnetic bulk amorphous alloys.
Açıklama
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Konusu
Physics, Magnetic bulk amorphous alloys, Glass forming ability, Neural network, Metallic glasses, Neural-network, Nb, Formability, Cores, Fe, Hf, Ti, Alloys, Cerium alloys, Genetic algorithms, Glass, Neural networks, Artificial neural network, Bulk amorphous alloys, Chemical compositions, Computational modeling, Critical diameter, Glass forming ability, Levenberg-Marquardt algorithm, Amorphous alloys
Alıntı
Kabaer, M. vd. (2011). "Computational modeling of glass forming ability and critical diameter of magnetic bulk amorphous alloys". Journal of Superconductivity and Novel Magnetism, 24(1-2), 693-697.