Title :
Application of fuzzy neural network in burden surface clustering
Author :
Liu, Dexin ; Li, Xiaoli ; Lu, Shuting ; Ding, Dawei ; Chen, Xianzhong
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of burden surface are taken as the training data of fuzzy neural network. The trained network will be used for the future clustering of the data. Considering the demand of energy-saving and consumption-decreasing, the method sets up the basic for the distribution control in the next step. The simulation results show the effectiveness of the proposed method.
Keywords :
blast furnaces; energy conservation; fuzzy neural nets; pattern clustering; power distribution control; radar applications; steel manufacture; thermometers; blast furnace charging distribution; burden surface clustering; burden surface situation; distribution control; energy consumption; energy-saving; fuzzy neural network; radar data; steel production; thermometer data; Blast furnaces; Clustering algorithms; Fuzzy control; Fuzzy neural networks; Radar measurements; Surface treatment; Burden Surface; Cluster; Fuzzy Neural Network;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244174
