Control chart patterns recognition based on wavelet transform and neural network

被引：0
作者：
Wu, Shaoxiong [1 ]
Wu, Biying
机构：
[1] Fujian Univ Technol, Dept Econ & Management, Fujian 350014, Peoples R China
[2] Fujian Univ Technol, Foreign Language Dept, Fujian 350014, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The control chart patterns recognition using wavelet transform and neural network was presented. Input data was decomposed by wavelet transform into several detail coefficients and approximations. The approximation obtained was for the input of BP networks. The simulation results show that combined wavelet transform with neural network has better recognition performance than BP networks, and it can be used in control chart patterns recognition.
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页码：590 / 593
页数：4
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