Evolutionary learning of BMF fuzzy-neural networks using a reduced-form genetic algorithm
In this paper, a novel approach to adjust both the control points of B-spline membership functions (BMFs) and the weightings of fuzzy-neural networks using a reduced-form genetic algorithm (RGA) is proposed. Fuzzy-neural networks are traditionally trained by using gradient-based methods, which may f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 33(2003), 6 vom: 28., Seite 966-76
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| 1. Verfasser: |
Wang, Wei-Yen
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Yi-Hsum |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2003
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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