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Considering the excellent convex optimization property and the good ability of generalization of support vector machines (SVM), this paper gives out an grade valuation model based on it. Through the processing of data normalization and the optimization analysis of some factor, the SVM based ore grade valuation model is created. The prediction results compare with the Thiessen polygons method, the...
In order to improve accuracy of estimation for ore reserves and average grade, it is important to select suitable interpolation method. Firstly, traditional inverse distance weighted method is analyzed and grade estimation model is improved. Specifically, irregular ellipsoid interpolation model is put forward, which is suitable for vein thin ore body or layer-like ore body, etc. The new model, based...
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