The Flow Amounts Prediction of BFG with an Improved PSO-BP Algorithm

被引：0
|
作者：
Li, Junpeng [1 ]
Hua, Changchun [1 ]
Tang, Yinggan [1 ]
Guan, Xinping [1 ,2 ]
机构：
[1] Yanshan Univ, Coll Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
基金：
中国国家自然科学基金;
关键词：
Blast furnace gas (BFG); prediction; PSO; BP; grey correlation;
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 byproduct gas of blast furnace is one of the most significant energy resources of an enterprise. Because of the complex chemical reaction in blast furnace, the trend of the flow amounts of BFG is hard to be predicted. In this paper, we proposed an improved PSO-BP algorithm which has good performance compared with PSO-BP algorithm and BP algorithm. The prediction accuracy and running time of our algorithm can meet the demands of industry. The results provide guidance for industrial operations.
引用
收藏
页码：4646 / 4651
页数：6
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