Artificial neural network approach to predict the electrical conductivity and density of Ag-Ni binary alloys
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Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Sa
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
in this study, artificial neural network (ANN) approach was done to predict electrical conductivity and density of silver-nickel binary alloys using aback-propagation neural network that uses gradient descent learning algorithm. in ANN training module, Ag%. and Ni% (weight) contents were employed as input and electrical conductivity, calculated and typical density were used as outputs. ANN system was trained using the prepared training set (also known as learning set). After training process, the test data were used to check system accuracy. As a result the neural network was found successful for the prediction of electrical conductivity and density of silver nickel binary alloys. (C) 2008 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Artificial Neural Network, Electrical Conductivity, Density, Silver-Nickel Binary Alloys
Kaynak
Journal of Materials Processing Technology
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
208
Sayı
1-3
