Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network

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/).

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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  -