Prediction of the mechanical properties of hot-rolled C-Mn steels by single index model

Semi-parametric single index model based approach is proposed for prediction of mechanical properties of hot rolled strip in this paper. Based on industrial production data, a semi-parametric single index model is developed by choosing the appropriate kernel function and window width to predict the yield strength, tensile strength and elongation. When data samples are limited, compared with regression method and neural network method, the prediction results show that the semi-parametric single-index model based method is more adaptive and the prediction performance is superior to both regression and neural network methods.