An Improved Back-Propagation Algorithm for Fuzzy Modeling

Fuzzy modeling is discussed in many literatures and there are numerous algorithms are proposed. Back-propagation algorithm is an efficient algorithm for fuzzy modeling and many papers proposed the usage of such method. But there exists potential risk of dead zone, abrupt inference surface and decrea...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 48-49; S. 198 - 202
Hauptverfasser: Miao, Zhi Nong, Zheng, Hui Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.02.2011
Schlagworte:
Improved Algorithm
Fuzzy Modeling
Back Propagation Algorithm (BPA)
ISBN:3037850191, 9783037850190
ISSN:1660-9336, 1662-7482, 1662-7482
Online-Zugang:Volltext
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Zusammenfassung:Fuzzy modeling is discussed in many literatures and there are numerous algorithms are proposed. Back-propagation algorithm is an efficient algorithm for fuzzy modeling and many papers proposed the usage of such method. But there exists potential risk of dead zone, abrupt inference surface and decreasing sensitivity for normal back-propagation algorithm in fuzzy modeling. This paper analysis the potential problems of normal algorithm and suggest a reformative back-propagation algorithm for fuzzy modeling. A complete algorithm is presented in the paper and some simulate result is discussed
Bibliographie:Selected, peer reviewed papers from the Third International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), held in Shanghai, China, Jan 6-7, 2011
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ISBN:3037850191
9783037850190
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.48-49.198