Artificial Neural Network approach to predict mechanical properties of hot rolled, nonresulfurized, AISI 10xx series carbon steel bars
[ X ]
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 approach to predict mechanical properties of, hot rolled, nonresulfurized, AISI 10xx series carbon steel bars were obtained using a back-propagation neural network that uses gradient descent learning algorithm. In Artificial Neural Network training module, C%, Si%, Mn% contents were employed as input and tensile strength, yield strength, elongation, reduction in area, hardness 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 mechanical properties of, hot rolled, nonresulfurized, AISI 10xx series carbon steels under given conditions. (C) 2007 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Artificial Neural Network, Prediction Of Mechanical Properties, 10xx Series Steel Bars
Kaynak
Journal of Materials Processing Technology
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
199
Sayı
1-3
