Evolution of recurrent fuzzy controllers

Autores
Kavka, Carlos; Roggero, Patricia; Apolloni, Javier
Año de publicación
2004
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating the effect of evolution of recurrent fuzzy controllers by applying the FV representation, which provides a set of advantages that can signi catively benefit the quality of the knowledge insertion process.
Eje: Sistemas de información y Metaheurística
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Fuzzy set
evolution
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/21347
Acceder
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network_name_str SEDICI (UNLP)
spelling Evolution of recurrent fuzzy controllersKavka, CarlosRoggero, PatriciaApolloni, JavierCiencias InformáticasFuzzy setevolutionThe main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating the effect of evolution of recurrent fuzzy controllers by applying the FV representation, which provides a set of advantages that can signi catively benefit the quality of the knowledge insertion process.Eje: Sistemas de información y MetaheurísticaRed de Universidades con Carreras en Informática (RedUNCI)2004-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf601-606http://sedici.unlp.edu.ar/handle/10915/21347enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:47:14Zoai:sedici.unlp.edu.ar:10915/21347Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:14.66SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Evolution of recurrent fuzzy controllers
title Evolution of recurrent fuzzy controllers
spellingShingle Evolution of recurrent fuzzy controllers
Kavka, Carlos
Ciencias Informáticas
Fuzzy set
evolution
title_short Evolution of recurrent fuzzy controllers
title_full Evolution of recurrent fuzzy controllers
title_fullStr Evolution of recurrent fuzzy controllers
title_full_unstemmed Evolution of recurrent fuzzy controllers
title_sort Evolution of recurrent fuzzy controllers
dc.creator.none.fl_str_mv Kavka, Carlos
Roggero, Patricia
Apolloni, Javier
author Kavka, Carlos
author_facet Kavka, Carlos
Roggero, Patricia
Apolloni, Javier
author_role author
author2 Roggero, Patricia
Apolloni, Javier
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Fuzzy set
evolution
topic Ciencias Informáticas
Fuzzy set
evolution
dc.description.none.fl_txt_mv The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating the effect of evolution of recurrent fuzzy controllers by applying the FV representation, which provides a set of advantages that can signi catively benefit the quality of the knowledge insertion process.
Eje: Sistemas de información y Metaheurística
Red de Universidades con Carreras en Informática (RedUNCI)
description The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating the effect of evolution of recurrent fuzzy controllers by applying the FV representation, which provides a set of advantages that can signi catively benefit the quality of the knowledge insertion process.
publishDate 2004
dc.date.none.fl_str_mv 2004-05
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/21347
url http://sedici.unlp.edu.ar/handle/10915/21347
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
601-606
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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