<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

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

Data publikacji: 14 paź 2019

Zakres stron: 83 - 86

DOI: https://doi.org/10.21307/ijanmc-2019-025

Słowa kluczowe
Improved Neural Network, Lime, Expert System, BP, Hybrid Control

© 2018 Lingli Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Data publikacji: 14 paź 2019

Zakres stron: 83 - 86

DOI: https://doi.org/10.21307/ijanmc-2019-025

Słowa kluczoweImproved Neural Network, Lime, Expert System, BP, Hybrid Control

© 2018 Lingli Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Improved Neural Network, Lime, Expert System, BP, Hybrid Control