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Erschienen in:
1998 | ReviewPaper | Buchkapitel
Fuzzy hybrid techniques in modeling
verfasst von : M. Delgado, A. F. Gómez-Skarmeta, J. Gómez Marín-Blázquez, H. Martinez Barberá
Erschienen in: Methodology and Tools in Knowledge-Based Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We will describe several methods to approximate the fuzzy rules tuning and generation problem. To generate the rules we will use several clustering algorithms. This approach supposes that the data lacks of structure. To tune the rules we will use two different techniques. One of them is based in descent gradients. The other one is based in a try to tune the rules outputs to reduce the error.