Application of Fuzzy Neural Network in Burden Surface Clustering

摘要：

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.

关键词： Burden Surface Fuzzy Neural Network and Cluster

作者: Dexin Liu Xiaoli Li Shuting Lu Dawei Ding Xianzhong Chen

作者单位: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083 Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), Beijing 100083, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1094-1099

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）