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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Application of Tetrahedral Mesh Model Based on Neural Network in Solid Mineral Reserve Estimation
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Junfang Gong, Xincai Wu, Xiuguo Liu, Shengwen Li, "Application of Tetrahedral Mesh Model Based on Neural Network in Solid Mineral Reserve Estimation," International Workshop on Knowledge Discovery and Data Mining, pp. 146-149, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.92,
author = {Junfang Gong and Xincai Wu and Xiuguo Liu and Shengwen Li},
title = {Application of Tetrahedral Mesh Model Based on Neural Network in Solid Mineral Reserve Estimation},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {146-149},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.92},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Application of Tetrahedral Mesh Model Based on Neural Network in Solid Mineral Reserve Estimation
SN - 0-7695-3090-7
SP146
EP149
A1 - Junfang Gong,
A1 - Xincai Wu,
A1 - Xiuguo Liu,
A1 - Shengwen Li,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Mineral reserve estimation involves large amounts of geological data, and the traditional manual computation method is a heavy and fussy work. Computing mineral reserve with 3D orebody modeling can increase the efficiency heavily of reserve estimation and management. On the basis of analyzing several 3D orebody modeling methods, this paper choose tetrahedral mesh model to construct orebody, and introduces a mineral reserve estimation method based on neural network. The main advantages of this technique are an according management for orebody boundary and inner grade distribution, as well as its precision. Therefore, this technique has an academic and practical value. Keywords: Tetrahedron, Reserve estimation, Orebody modeling, 3D
Citation:
Junfang Gong, Xincai Wu, Xiuguo Liu, Shengwen Li, "Application of Tetrahedral Mesh Model Based on Neural Network in Solid Mineral Reserve Estimation," wkdd, pp.146-149, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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