Crude Oil Measurement Model Based on Artificial Neural Networks

DOI

10.2991/asei-15.2015.428How to use a DOI?

Keywords

neural network, moisture content of crude oil, error compensation, back propagation

Abstract

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.

Copyright

© 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/).

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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  -