Application of Rough Set Technology to Control Information System of CFBB
Authors
Mingming Gao, Jie Hou, Deliang Zeng, Xiujian Lei, Yuping Wu, Mingsheng Zhang
Corresponding Author
Mingming Gao
Available Online April 2013.
- DOI
- 10.2991/icsem.2013.247How to use a DOI?
- Keywords
- data mining, rough set, neural fuzzy inference, circulating fluidized bed boiler.
- Abstract
Circulating fluidized bed boiler(CFBB) is a distributed parameter, nonlinear, time-varying and multivariate coupling system. Considering these, the core identity of Rough Set and the theory of self-organizing neural fuzzy inference system is applied to the control system of CFBB. The system is carried out toward the 300MW CFBB in Baima Sichuan province, and finally improve the performance of CFBB effectively.
- 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/).
Cite this article
TY - CONF AU - Mingming Gao AU - Jie Hou AU - Deliang Zeng AU - Xiujian Lei AU - Yuping Wu AU - Mingsheng Zhang PY - 2013/04 DA - 2013/04 TI - Application of Rough Set Technology to Control Information System of CFBB BT - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013) PB - Atlantis Press SP - 1155 EP - 1158 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.247 DO - 10.2991/icsem.2013.247 ID - Gao2013/04 ER -