Function approximation based on fuzzy rules extracted from partitioned numerical data
We present an efficient method for extracting fuzzy rules directly from numerical input-output data for function approximation problems. First, we convert a given function approximation problem into a pattern classification problem. This is done by dividing the universe of discourse of the output va...
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. - 29(1999), 4 vom: 01., Seite 525-34
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| 1. Verfasser: |
Thawonmas, R
(VerfasserIn) |
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| Weitere Verfasser: |
Abe, S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
1999
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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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