caa a22 4500 445381841 CHVBK 20180317143019.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10948-010-0939-x doi (NATIONALLICENCE)springer-10.1007/s10948-010-0939-x Computational Modeling of Glass Forming Ability andCriticalDiameter of Magnetic Bulk Amorphous Alloys [Elektronische Daten] [Mehmet Kabaer, Ilker Kucuk] 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. Springer Science+Business Media, LLC, 2010 Magnetic bulk amorphous alloys nationallicence Glass forming ability nationallicence Neural network nationallicence Kabaer Mehmet Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059, Bursa, Turkey aut Kucuk Ilker Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059, Bursa, Turkey aut Journal of Superconductivity and Novel Magnetism Springer US; http://www.springer-ny.com 24/1-2(2011-01-01), 693-697 1557-1939 24:1-2<693 2011 24 10948 https://doi.org/10.1007/s10948-010-0939-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10948-010-0939-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kabaer Mehmet Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 700 1- Kucuk Ilker Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059, Bursa, Turkey aut NATIONALLICENCE 773 0- Journal of Superconductivity and Novel Magnetism Springer US; http://www.springer-ny.com 24/1-2(2011-01-01), 693-697 1557-1939 24:1-2<693 2011 24 10948 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer