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 0.0521, MSRE 17.85%, and VOF 1.9329. The results obtained are satisfactory. The method is a powerful aid for designing new steels.
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You, W., Liu, Yx., Bai, Bz. et al. RBF-Type Artificial Neural Network Model Applied in Alloy Design of Steels. J. Iron Steel Res. Int. 15, 87–90 (2008). https://doi.org/10.1016/S1006-706X(08)60038-2
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DOI: https://doi.org/10.1016/S1006-706X(08)60038-2