A Wavelet Packet Diagnosis System Based on Rough Set Theory

被引：0
作者：
Sun, Yingkai [1 ]
Chen, Hai [2 ]
机构：
[1] South China Household Appliances Inst, Foshan 528300, Guangdong, Peoples R China
[2] Beijing Normal Univ Zhuhai Campus, Zhuhai 519080, Guangdong, Peoples R China
来源：
2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2012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：
The wavelet packet analysis was adopted in acquisition of fault diagnosis system's characteristic parameter. The application of rough set theory in parameter's attribute optimization was explored. The unnecessary attributes were eliminated with reduction algorithm. The inner redundancy of fault diagnosis system's condition attributes is revealed. The complexity of neural network's structure is also decreased. The result of attribute reduction is given finally.
引用
收藏
页码：265 / 269
页数：5
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