Show simple item record

Presentation

dc.creatorMoreno Velo, Francisco Josées
dc.creatorBaturone, I.es
dc.creatorSenhadji Navarro, Raoufes
dc.creatorSánchez Solano, Santiagoes
dc.date.accessioned2020-07-07T07:19:26Z
dc.date.available2020-07-07T07:19:26Z
dc.date.issued2003
dc.identifier.citationMoreno Velo, F.J., Baturone, I., Senhadji Navarro, R. y Sánchez Solano, S. (2003). Thing Complex Fuzzy Systems by Supervised Learning Algorithms. En FUZZ 2003: 12th IEEE International Conference on Fuzzy Systems (226-231), St Louis, MO, USA: IEEE Computer Society.
dc.identifier.isbn0-7803-7810-5es
dc.identifier.urihttps://hdl.handle.net/11441/98885
dc.description.abstractTuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that involves many parameters. This paper presents an study of different approaches that can be applied to perform this tuning process automatically, and describes a CAD tool, named xfsl, which allows applying a wide set of these approaches: (a) a large number of supervised learning algorithms; (b) different processes to simplify the learned system; (c) tuning only specific parameters of the system; (d) the ability to tune hierarchical fuzzy systems, systems with continuous output (like fuzzy controller) as well as with categorical output (like fuzzy classifiers), and even systems that employ user-defined fuzzy functions; and, finally, (e) the ability to employ this tuning within the design flow of a fuzzy system, because xfsl is integrated into the fuzzy system development environment Xfuzzy 3.0.es
dc.description.sponsorshipComisión Interministerial de Ciencia y Tecnología TIC2001-1726-C02-01es
dc.formatapplication/pdfes
dc.format.extent6es
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofFUZZ 2003: 12th IEEE International Conference on Fuzzy Systems (2003), p 226-231
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleThing Complex Fuzzy Systems by Supervised Learning Algorithmses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadoreses
dc.relation.projectIDTIC2001-1726-C02-01es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/1209366es
dc.identifier.doi10.1109/FUZZ.2003.1209366es
dc.publication.initialPage226es
dc.publication.endPage231es
dc.eventtitleFUZZ 2003: 12th IEEE International Conference on Fuzzy Systemses
dc.eventinstitutionSt Louis, MO, USAes
dc.relation.publicationplaceNew York, USAes
dc.contributor.funderComisión Interministerial de Ciencia y Tecnología (CICYT). Españaes

FilesSizeFormatViewDescription
Tuning complex fuzzy systems.pdf431.3KbIcon   [PDF] View/Open  

This item appears in the following collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional