Title of article
RBF-Type Artificial Neural Network Model Applied in Alloy Design of Steels Original Research Article
Author/Authors
Wei YOU، نويسنده , , Ya-xiu LIU، نويسنده , , Bingzhe Bai، نويسنده , , Hong-Sheng Fang، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
4
From page
87
To page
90
Abstract
RBF model, a new type of artificial neural network model was developed to design the content of carbon in low-alloy engineering steels. The errors of the ANN model are: MSE 0. 052 1, MSRE 17.85%, and VOF 1.932 9. The results obtained are satisfactory. The method is a powerful aid for designing new steels.
Keywords
radial-basis-function , Artificial neural network , carbon , alloy design , neurobalance
Journal title
Journal of Iron and Steel Research
Serial Year
2008
Journal title
Journal of Iron and Steel Research
Record number
1234985
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