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
- 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/).
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 - 10.2991/icsmim-15.2016.102 ID - Liu2016/01 ER -