Modeling and Optimization of Coal Moisture Control System Based on BFO

DOI

10.2991/eeic-13.2013.63How to use a DOI?

Keywords

coal moisture control; BFO; modeling; optimization

Abstract

Coal moisture control process is a critical process in energy saving, pollution reduction and improving production efficiency and the quality of coke. To achieve precise control of coal moisture control system, against their strong coupling, large, nonlinear systems with time-delay characteristics using the RBF artificial neural network approach for modeling. And use the bionic BFO (Bacterial Foraging Optimization) according to the fitness to optimize the RBF Neural network parameters. Also compare the RBF Neural network performance optimized by these bionic BFO in order to achieve better results. This method provides a theoretical basis for accurate control of coal moisture process. To created the conditions for the reduction of energy and pollution with improving the quality of coke.

Copyright

© 2013, 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  - Xiaobin Li
AU  - Yang Yu
AU  - Ting Hu
AU  - Haiyan Sun
PY  - 2013/12
DA  - 2013/12
TI  - Modeling and Optimization of Coal Moisture Control System Based on BFO
BT  - Proceedings of the 3rd International Conference on Electric and Electronics
PB  - Atlantis Press
SP  - 269
EP  - 274
SN  - 1951-6851
UR  - https://doi.org/10.2991/eeic-13.2013.63
DO  - 10.2991/eeic-13.2013.63
ID  - Li2013/12
ER  -