Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems

Detalhes bibliográficos
Autor(a) principal: Amaral, Renan Piazzaroli Finotti
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da UFJF
Texto Completo: https://repositorio.ufjf.br/jspui/handle/ufjf/6034
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spelling Ribeiro, Moisés Vidalhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794613D7Aguiar, Eduardo Pestana dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236602D7Silva Junior, Ivo Chaves dahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4771513T6Guimarães, Frederico Gadelhahttp://lattes.com.brhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4860436U4Amaral, Renan Piazzaroli Finotti2018-01-22T16:10:30Z2018-01-092018-01-22T16:10:30Z2017-09-01https://repositorio.ufjf.br/jspui/handle/ufjf/6034-This thesis presents and discusses improvements in the type-1 and singleton fuzzy logic system for dealing with classification problems. Two training methods are addressed, the scaled conjugate gradient, which uses the second order information approximating the multiplication of the Hessian matrix H by the directional vector v (i.e. Hv), and the same method using the differential operator R {.} to compute the exact value of Hv. Also, in order to adapt the fuzzy model to handle multiclass classification problems, it is developed a novel fuzzy model with a vector as output. All proposals are tested through the performance metrics analysis based on data sets provided by UCI Machine Learning Repository. The reported results show the high convergence speed and better classification rates of the proposed training methods than others presented in the literature. Additionally, the novel fuzzy model has a significant reduction in computational and classifier complexity, especially when the number of classes in classification problem increases.engUniversidade Federal de Juiz de Fora (UFJF)Programa de Pós-graduação em Engenharia ElétricaUFJFBrasilICE – Instituto de Ciências ExatasCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAFuzzy logic systemMulticlass classificationScaled conjugate gradientHessianfreeType-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFJFinstname:Universidade Federal de Juiz de Fora (UFJF)instacron:UFJFTHUMBNAILrenanpiazzarolifinottiamaral.pdf.jpgrenanpiazzarolifinottiamaral.pdf.jpgGenerated Thumbnailimage/jpeg1127https://repositorio.ufjf.br/jspui/bitstream/ufjf/6034/4/renanpiazzarolifinottiamaral.pdf.jpga9f18ef481e1fb0b28f8450a1d61786dMD54ORIGINALrenanpiazzarolifinottiamaral.pdfrenanpiazzarolifinottiamaral.pdfapplication/pdf1172046https://repositorio.ufjf.br/jspui/bitstream/ufjf/6034/1/renanpiazzarolifinottiamaral.pdfeb7bf10c813d64fbddcc572d39aecfc5MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82197https://repositorio.ufjf.br/jspui/bitstream/ufjf/6034/2/license.txt000e18a5aee6ca21bb5811ddf55fc37bMD52TEXTrenanpiazzarolifinottiamaral.pdf.txtrenanpiazzarolifinottiamaral.pdf.txtExtracted texttext/plain95254https://repositorio.ufjf.br/jspui/bitstream/ufjf/6034/3/renanpiazzarolifinottiamaral.pdf.txtf3add1c929d8d9e3908ab310545f2645MD53ufjf/60342019-06-16 07:42:15.875oai:hermes.cpd.ufjf.br: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Repositório InstitucionalPUBhttps://repositorio.ufjf.br/oai/requestopendoar:2019-06-16T10:42:15Repositório Institucional da UFJF - Universidade Federal de Juiz de Fora (UFJF)false
dc.title.pt_BR.fl_str_mv Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
title Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
spellingShingle Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
Amaral, Renan Piazzaroli Finotti
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Fuzzy logic system
Multiclass classification
Scaled conjugate gradient
Hessianfree
title_short Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
title_full Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
title_fullStr Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
title_full_unstemmed Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
title_sort Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems
author Amaral, Renan Piazzaroli Finotti
author_facet Amaral, Renan Piazzaroli Finotti
author_role author
dc.contributor.advisor1.fl_str_mv Ribeiro, Moisés Vidal
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794613D7
dc.contributor.referee1.fl_str_mv Aguiar, Eduardo Pestana de
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236602D7
dc.contributor.referee2.fl_str_mv Silva Junior, Ivo Chaves da
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4771513T6
dc.contributor.referee3.fl_str_mv Guimarães, Frederico Gadelha
dc.contributor.referee3Lattes.fl_str_mv http://lattes.com.br
dc.contributor.authorLattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4860436U4
dc.contributor.author.fl_str_mv Amaral, Renan Piazzaroli Finotti
contributor_str_mv Ribeiro, Moisés Vidal
Aguiar, Eduardo Pestana de
Silva Junior, Ivo Chaves da
Guimarães, Frederico Gadelha
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Fuzzy logic system
Multiclass classification
Scaled conjugate gradient
Hessianfree
dc.subject.por.fl_str_mv Fuzzy logic system
Multiclass classification
Scaled conjugate gradient
Hessianfree
description -
publishDate 2017
dc.date.issued.fl_str_mv 2017-09-01
dc.date.accessioned.fl_str_mv 2018-01-22T16:10:30Z
dc.date.available.fl_str_mv 2018-01-09
2018-01-22T16:10:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv https://repositorio.ufjf.br/jspui/handle/ufjf/6034
url https://repositorio.ufjf.br/jspui/handle/ufjf/6034
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Juiz de Fora (UFJF)
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFJF
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ICE – Instituto de Ciências Exatas
publisher.none.fl_str_mv Universidade Federal de Juiz de Fora (UFJF)
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFJF
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