LI Juan, LI Cui-ping, LI Zhong-xue. Grade interpolation in orebody based on support vector regression[J]. Chinese Journal of Engineering, 2009, 31(12): 1498-1502. DOI: 10.13374/j.issn1001-053x.2009.12.003
Citation:
LI Juan, LI Cui-ping, LI Zhong-xue. Grade interpolation in orebody based on support vector regression[J]. Chinese Journal of Engineering, 2009, 31(12): 1498-1502. DOI: 10.13374/j.issn1001-053x.2009.12.003
LI Juan, LI Cui-ping, LI Zhong-xue. Grade interpolation in orebody based on support vector regression[J]. Chinese Journal of Engineering, 2009, 31(12): 1498-1502. DOI: 10.13374/j.issn1001-053x.2009.12.003
Citation:
LI Juan, LI Cui-ping, LI Zhong-xue. Grade interpolation in orebody based on support vector regression[J]. Chinese Journal of Engineering, 2009, 31(12): 1498-1502. DOI: 10.13374/j.issn1001-053x.2009.12.003
Grade interpolation in orebody based on support vector regression
The method of support vector regression (SVR) in combination with self organization feature mapping (SOFM) network was selected for grade interpolation in orebody, and was compared to the Thiessen polygons method, the distance power inverse ratio method and the Kriging method. The result shows that the prediction model of SVR is feasible and reliable for grade estimation.
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