Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

The Lithology Discrimination with Back-Propagation Neural Network Method

Authors
Shaohua Liu, Xiaoqiu Duan, Zhonghao Wang, Dong Wu
Corresponding Author
Shaohua Liu
Available Online January 2016.
DOI
https://doi.org/10.2991/icsmim-15.2016.102How to use a DOI?
Keywords
logging data lithology identification Back-Propagation Algorithm (BP) neural network
Abstract

In lithology identification method, artificial neural network recognition results du-e to its objective and reliable, to be more widely used. Study selection of BP neural net-work, Shen 630-H1426 logging lithology identification, prediction accuracy of 90%, with a higher prediction accuracy magmatic rocks and metamorphic crocks. Through analysis sho-ws that BP neural network to predict lithology is a more reliable method.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icsmim-15.2016.102How to use a DOI?
Copyright
© 2016, 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  - Shaohua Liu
AU  - Xiaoqiu Duan
AU  - Zhonghao Wang
AU  - Dong Wu
PY  - 2016/01
DA  - 2016/01
TI  - The Lithology Discrimination with Back-Propagation Neural Network Method
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 555
EP  - 558
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.102
DO  - https://doi.org/10.2991/icsmim-15.2016.102
ID  - Liu2016/01
ER  -