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
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