• 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