Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality

DOI

10.2991/icmcs-18.2018.17How to use a DOI?

Keywords

Improved Neural Network; Lime; Expert System; BP; Hybrid Control

Abstract

In this paper, a method of combining neural network with expert system is proposed, which can realize the control model of real time feedback and control parameters. The model is based on the parameters of production condition, and the current lime quality is predicted. Through the quality of lime and control parameters, using association rule base of expert system, reasoning that lime control parameter adjustment, timely feedback to the lime production control system, to achieve the purpose of real-time control of the quality of lime. The paper presents application of improved BP neural network in hybrid control model of lime quality.

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Lingli Zhu
AU  - Tingzhong Wang
PY  - 2018/10
DA  - 2018/10
TI  - Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 89
EP  - 93
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.17
DO  - 10.2991/icmcs-18.2018.17
ID  - Zhu2018/10
ER  -