Title of article :
Prediction of Mechanical Properties of Hot Rolled Strip by Using Semi-Parametric Single-Index Model Original Research Article
Author/Authors :
Yong-Hong Zhao، نويسنده , , Yang WENG، نويسنده , , Ning-qi PENG، نويسنده , , Guang-bo TANG، نويسنده , , Zheng-dong LIU، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
7
From page :
9
To page :
15
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 :
mechanical property prediction , Regression analysis , neural network , semi-parametric single-index model , hot strip rolling
Journal title :
Journal of Iron and Steel Research
Serial Year :
2013
Journal title :
Journal of Iron and Steel Research
Record number :
1239612
Link To Document :
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