Multi-scale wavelet support vector regression for soft sensor modeling

被引：0
|
作者：
Wang, J [1 ]
Peng, H [1 ]
机构：
[1] Xihua Univ, Sch Elect Informat, Chengdu 610039, Sichuan, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new multi-scale wavelet support vector regression (MS-WSVR) for function regression is proposed in this paper, and applied to soft sensor modeling for abamectin fermentation process. Wavelet function with different resolution is used as support vector kernel in order to construct MS-WSVR. Theoretic analysis of the multi-scale wavelet kernel is discussed in detail. Experiments show that this method has better performance than the soft sensor modeling based on the RBF neural network.
引用
收藏
页码：284 / 287
页数：4
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