Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3515
Título : XFSL: A tool for supervised learning of fuzzy systems
Autor : Moreno Velo, Francisco José, Baturone, I., Sánchez-Solano, Santiago, Barriga, Angel
Palabras clave : Automatic Tuning
Supervised Learning
CAD Tools
Fuzzy Systems
Fecha de publicación : Dec-2001
Resumen: This paper presents Xfsl, a tool for the automatic tuning of fuzzy systems using supervised learning algorithms. The tool provides a wide set of learning algorithms, which can be used to tune complex systems. An important issue is that Xfsl is integrated into the fuzzy system development environment Xfuzzy 3.0, and hence, it can be easily employed within the design flow of a fuzzy system.
URI : http://hdl.handle.net/10261/3515
Citación : European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE-2001), pp. 241-246, Tenerife, Dec. 2001.
Appears in Collections:(IMS-CNM) Comunicaciones congresos

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