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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| Published in: | Applied Mechanics and Materials Vol. 48-49; pp. 198 - 202 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Zurich
Trans Tech Publications Ltd
01.02.2011
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| Subjects: | |
| ISBN: | 3037850191, 9783037850190 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online Access: | Get full text |
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| Summary: | 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 |
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| Bibliography: | Selected, peer reviewed papers from the Third International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), held in Shanghai, China, Jan 6-7, 2011 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISBN: | 3037850191 9783037850190 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.48-49.198 |