RBF-Type Artificial Neural Network Model Applied in Alloy Design of Steels Original Research Article

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.