Multiwavelet neural network classification based on pre-processing methods

被引：0

作者：

Liu, Zhigang ^{[1
]}

Zhang, Yajun ^{[1
]}

Zhang, Dabo ^{[1
]}

机构：

[1] SW Jiaotong Univ, Inst Electrificat & Automat, Chengdu 610031, Sichuan, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷

关键词：

multiwavelets; multiwavelet neural network; pre-processing method; classification;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Through the introduction of basis multiwavelets theory and the analysis of multiwavelet transformation, a network is proposed and discussed. The corresponding learning algorithm of multiwavelet neural network is given. The classification with the multiwavelet neural network based on pre-processing method is put forward and discussed in the paper. Simulations results for classification, of transmission line fault type in power system), shou) that the classification with multiwavelet neuarl network classification based on pre-processing methods is better than those without pre-processing methods and with wavelet neural network in the end.

引用

页码：322 / 326

页数：5

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