Application of nonlinear time series analysis to the prediction of silicon content of pig iron

被引：34
|
作者：
Waller, M [1 ]
Saxén, H [1 ]
机构：
[1] Abo Akad Univ, Heat Engn Lab, FIN-20500 Turku, Finland
来源：
ISIJ INTERNATIONAL | 2002年 / 42卷 / 03期
关键词：
D O I：
10.2355/isijinternational.42.316
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
The application of nonlinear time series analysis for the prediction of silicon content of pig iron is discussed. The predictive properties of the nonlinear time series models implemented as radial basis function networks and (time variant) linear time series models as well as parametrically linear (time variant) finite impulse response models were compared. The analysis showed detection of a clear nonlinearity in the signal.
引用
收藏
页码：316 / 318
页数：3
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