11th Joint International Conference on Information Sciences

Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network

Authors
Dongdai Zhou 0, Shaochun Zhong, Yangling Li, Xiaochun Cheng
Corresponding Author
Dongdai Zhou
0School of Computer, Northeaset Normal Univerisity
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.76How to use a DOI?
Keywords
Neural network, bouguer anomaly and geological structure, feature extraction
Abstract
In this paper, a correlative structure model based on regional gravity information is generated using back-propagation neural network. The gravity bouguer anomalies of samples are analyzed. The result has been used to process the 1:1,000,000 gravity horizontal derivation maps of the mining areas in the East Kunlun Mountain and the system can automatically extract structure axis from gravity interpretation maps.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dongdai Zhou
AU  - Shaochun Zhong
AU  - Yangling Li
AU  - Xiaochun Cheng
PY  - 2008/12
DA  - 2008/12
TI  - Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.76
DO  - https://doi.org/10.2991/jcis.2008.76
ID  - Zhou2008/12
ER  -