Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network
Authors
Dongdai Zhou1, Shaochun Zhong, Yangling Li, Xiaochun Cheng
1School of Computer, Northeaset Normal Univerisity
Corresponding Author
Dongdai Zhou
Available Online December 2008.
- DOI
- 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.
- Copyright
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 446 EP - 451 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.76 DO - 10.2991/jcis.2008.76 ID - Zhou2008/12 ER -