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Prediction of Mechanical Properties of Hot Rolled Strip by Using Semi-Parametric Single-Index Model
Authors:ZHAO Yong-hong  WENG Yang  PENG Ning-qi  TANG Guang-bo  LIU Zheng-dong
Affiliation:1. College of Mathematics, Sichuan University, Chengdu 610064, Sichuan, China
2. Institute for Structural Materials, Central Iron and Steel Research Institute, Beijing 100081, China
Abstract: A semi-parametric single-index model based approach was proposed for prediction of mechanical properties of hot rolled strip. Based on industrial production data, a semi-parametric single-index model was 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 those by both regression and neural network methods.
Keywords:hot strip rolling  mechanical property prediction  regression analysis  neural network  semi-parametric single-index model    
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