Chaotic identification and prediction of silicon content in hot metal

被引：0
|
作者：
Gao, CH [1 ]
Zhou, ZM [1 ]
Qian, JX [1 ]
机构：
[1] Zhejiang Univ, Hangzhou 310027, Peoples R China
来源：
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL | 2005年 / 12卷 / 05期
关键词：
blast furnace; silicon content; hot metal; chaos; Lyapunov spectra; prediction;
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
The time series data of silicon content in hot metal were identified to have the chaotic feature because of the positive maximum Lyapunov exponent, and then the time scales to predict future were estimated. Finally a chaotic local-region model was constructed to predict silicon content in hot metal with good performance due to high hitting rate.
引用
收藏
页码：3 / +
页数：4
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