An integrated prediction model of sinter comprehensive performance

被引：0
|
作者：
Lu, Kailu [1 ]
Qiao, Fei [1 ]
Ma, Yumin [1 ]
机构：
[1] Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China
来源：
2015 CHINESE AUTOMATION CONGRESS (CAC) | 2015年
关键词：
sinter; prediction; information entropy; comprehensive performance; NEURAL-NETWORK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The process of sinter have a great influence on production and economic benefits of the iron-making, the prediction of sinter performance is very necessary. However, the sinter process is complex, nonlinear and hysteresis, and strong coupling, it's impossible to establish a mathematical model. In this paper, we constructed a prediction model of sinter comprehensive performance by integrating GM(1,1) and BPNN based on information entropy since a single model can't suit different sinter quality. The application results show that the prediction model has high accuracy rate, stability and efficiency.
引用
收藏
页码：298 / 302
页数：5
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