research-article

Application of tetrahedral mesh model based on neural network in solid mineral reserve estimation

Authors:

Junfang Gong,

Xincai Wu,

Xiuguo Liu,

Shengwen LiAuthors Info & Claims

e-Forensics '08: Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop

Article No.: 66, Pages 1 - 4

Published: 21 January 2008 Publication History

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Abstract

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.

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Published In

e-Forensics '08: Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop

January 2008

333 pages

ISBN:9789639799196

General Chair:
Matthew Sorell
University of Adelaide

Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 21 January 2008

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e-Forensics'08

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e-Forensics'08: 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia

January 21 - 23, 2008

Adelaide, Australia

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