DocumentCode
1944586
Title
Application of fuzzy pattern recognition in burden surface identification
Author
Liu, Dexin ; Li, Xiaoli ; Zhou, Xiang ; Yin, Yixin ; Chen, Xianzhong ; Hou, Qingwen
Author_Institution
Dept. of Autom., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2010
fDate
13-15 Aug. 2010
Firstpage
292
Lastpage
296
Abstract
A kind of pattern recognition method with Fuzzy clustering is applied to identify the burden surface of blast furnace. According to the information of burden surface distribution, the target clustering analysis is used to set up a standard model database. Based on the character of distribution, each target burden surface is matched into different standard model database by using fuzzy pattern recognition method. Maximal minimal similarity method is adapted in the course of fuzzy pattern recognition. The simulation results show the effectiveness of the proposed method.
Keywords
blast furnaces; fuzzy set theory; minimax techniques; pattern recognition; blast furnace; burden surface distribution; burden surface identification; fuzzy clustering; fuzzy pattern recognition; maximal minimal similarity method; Blast furnaces; Fuzzy sets; Pattern recognition; Presses; Radar imaging; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7047-1
Type
conf
DOI
10.1109/ICICIP.2010.5564289
Filename
5564289
Link To Document