Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network
Dongdai Zhou1, Shaochun Zhong, Yangling Li, Xiaochun Cheng
1School of Computer, Northeaset Normal Univerisity
Available Online December 2008.
- 10.2991/jcis.2008.76How to use a DOI?
- Neural network, bouguer anomaly and geological structure, feature extraction
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.
- © 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 -