A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models

The Takagi-Sugeno-Kang-type rule-based fuzzy model has found many applications in different fields; a major challenge is, however, to build a compact model with optimized model parameters which leads to satisfactory model performance. To produce a compact model, most existing approaches mainly focus...

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Vydáno v:	IEEE transactions on cybernetics Ročník 43; číslo 6; s. 1807 - 1821
Hlavní autoři:	Wanqing Zhao, Qun Niu, Kang Li, Irwin, George W.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.12.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Artificial Intelligence Compact rule-based systems Computer Simulation Decision Support Techniques fast recursive algorithm (FRA) Fuzzy Logic fuzzy rules Fuzzy sets fuzzy structure Fuzzy systems harmony search (HS) Learning systems Models, Statistical Optimization Pattern Recognition, Automated - methods Polynomials Teaching methods Vectors
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
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