Crude Oil Measurement Model Based on Artificial Neural Networks
- 10.2991/asei-15.2015.428How to use a DOI?
- neural network, moisture content of crude oil, error compensation, back propagation
ANN technology is being widely used in many fields, Based on the analysis of artificial neural network, a method using multi-sensor in an improved artificial neural network is put forward for the error compensation and control of crude oil measurement model, experimental data are used to verify the result.
- © 2015, 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 - Bo Chen AU - Xiaoqing Xue AU - Ting Liu PY - 2015/05 DA - 2015/05 TI - Crude Oil Measurement Model Based on Artificial Neural Networks BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 2179 EP - 2182 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.428 DO - 10.2991/asei-15.2015.428 ID - Chen2015/05 ER -