Coal Seam Thickness Prediction Based on Transition Probability of Structural Elements
Coal seam thickness prediction is crucial in coal mine design and coal mining. In order to improve the prediction accuracy, an improved Kriging interpolation method on the basis of efficient data and Radial Basis Function (RBF-Kriging) is firstly proposed to interpolate the cutting data that is obta...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/9/6/1144 |