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13.349 Articles in journals published by the UPC
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  • 1998, Vol. V, Núm. 2-3
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New aspects on extraction of fuzzy rules using neural networks

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Benítez Sánchez, José Manuel
Blanco Morón, Armando
Delgado Calvo-Flores, Miguel
Requena Ramos, Ignacio
Document typeArticle
Defense date1998
PublisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
In previous works, we have presented two methodologies to obtain fuzzy rules in order to describe the behaviour of a system. We have used Artificial Neural Netorks (ANN) with the {\it Backpropagation} algorithm, and a set of examples of the system. In this work, some modifications which allow to improve the results, by means of an aptation or refinement of the variable labels in each rule, or the extraction of local rules using distributed ANN, are showed. An interesting application on the assignement of semantic to the classes obtained in a classification without previous classes process is also included.
URIhttp://hdl.handle.net/2099/3535
ISSN1134-5632
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  • Mathware & soft computing - 1998, Vol. V, Núm. 2-3 [21]
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