Artificial neural network approach to predict the electrical conductivity and density of Ag-Ni binary alloys

[ X ]

Tarih

2008

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

Künye