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A self-constructing compensatory fuzzy wavelet network and its applications
Yu HB(于海斌); Guo QJ(郭前进); Xu AD(徐皑冬)
Department工业控制系统研究室
Conference Name2nd International Conference on Fuzzy Systems and Knowledge Discovery
Conference DateAugust 27-29, 2005
Conference PlaceChangsha, China
Author of SourceXiangtan Univ, IEEE Circuits & Syst Soc, IEEE Computat IntelligenceSoc, IEEE Control Syst Soc, Int Neural Network Soc, European Neural Network Soc, Chinese Assoc Artifiical Intelligence, Japanese Neural Network Soc, Int Fuzzy Syst Assoc, Asia-Pacific Neural Network Assembly, Fuzzy Math & Syst Assoc Chine, Hunan Comp Federat
Source PublicationFUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2005
Pages743-756
Indexed BySCI ; EI ; CPCI(ISTP)
EI Accession number2005439439967
WOS IDWOS:000232217900093
Contribution Rank1
ISSN0302-9743
ISBN3-540-28312-9
Abstract

By utilizing some of the important properties of wavelets like denoising, compression, multiresolution along with the concepts of fuzzy logic and neural network, a new self-constructing fuzzy wavelet neural networks (SCFWNN) using compensatory fuzzy operators are proposed for intelligent fault diagnosis. An on-line learning algorithm is applied to automatically construct the SCFWNN. There are no rules initially in the SCFWNN. They are created and adapted as on-line learning proceeds via simultaneous structure and parameter learning. The advantages of this learning algorithm are that it converges quickly and the obtained fuzzy rules are more precise. The proposed SCFWNN is much more powerful than either the neural network or the fuzzy system since it can incorporate the advantages of both. The results of simulation show that this SCFWNN method has the advantage of faster learning rate and higher diagnosing precision.

Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8055
Collection工业信息学研究室_工业控制系统研究室
Corresponding AuthorYu HB(于海斌)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning 110016, China
2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Yu HB,Guo QJ,Xu AD. A self-constructing compensatory fuzzy wavelet network and its applications[C]//Xiangtan Univ, IEEE Circuits & Syst Soc, IEEE Computat IntelligenceSoc, IEEE Control Syst Soc, Int Neural Network Soc, European Neural Network Soc, Chinese Assoc Artifiical Intelligence, Japanese Neural Network Soc, Int Fuzzy Syst Assoc, Asia-Pacific Neural Network Assembly, Fuzzy Math & Syst Assoc Chine, Hunan Comp Federat. BERLIN:SPRINGER-VERLAG,2005:743-756.
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