DSpace Repository

XFSL: A tool for supervised learning of fuzzy systems

Show simple item record

dc.creator Moreno Velo, Francisco José
dc.creator Baturone, I.
dc.creator Sánchez-Solano, Santiago
dc.creator Barriga, Angel
dc.date 2008-04-10T11:14:12Z
dc.date 2008-04-10T11:14:12Z
dc.date 2001-12
dc.date.accessioned 2017-01-31T01:01:51Z
dc.date.available 2017-01-31T01:01:51Z
dc.identifier European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems (EUNITE-2001), pp. 241-246, Tenerife, Dec. 2001.
dc.identifier http://hdl.handle.net/10261/3515
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3515
dc.description 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.
dc.description This work has been partially supported by the Spanish CICYT Project TIC98-0869 and the FEDER Project 1FD97-0956-C3-02.
dc.description Peer reviewed
dc.format 301775 bytes
dc.format application/pdf
dc.language eng
dc.rights openAccess
dc.subject Automatic Tuning
dc.subject Supervised Learning
dc.subject CAD Tools
dc.subject Fuzzy Systems
dc.title XFSL: A tool for supervised learning of fuzzy systems
dc.type Comunicación de congreso


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account