| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1629939 | Journal of Iron and Steel Research, International | 2008 | 4 Pages |
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.
Related Topics
Physical Sciences and Engineering
Materials Science
Metals and Alloys
