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Fuzzy rule extraction by bacterial memetic algorithms

dc.contributor.authorBotzheim, J.
dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorRuano, Antonio
dc.contributor.authorKóczy, László T.
dc.date.accessioned2013-02-12T09:52:31Z
dc.date.available2013-02-12T09:52:31Z
dc.date.issued2005
dc.date.updated2013-01-26T19:32:39Z
dc.description.abstractIn our previous papers fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt method was also proposed for determining membership functions in fuzzy systems. The combination of the evolutionary and the gradient-based learning techniques will be called bacterial memetic algorithm. In this paper this new kind of memetic algorithm is introduced for fuzzy rule extraction. The paper presents how the bacterial algorithm can be improved with the Levenberg-Marquardt technique.por
dc.identifier.citationBotzheim, J.; Cabrita, C.; Ruano, A. E.; Koczy, Laszlo T. Fuzzy Rule Extraction by Bacterial Memetic Algorithms, Trabalho apresentado em IFSA 2005 World Congress, In Proceedings of the IFSA 2005 World Congress, Beijing, 2005.por
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/2306
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectBacterial algoritmpor
dc.subjectLevenberg-Marquardt methodpor
dc.subjectMemetic algorithmpor
dc.titleFuzzy rule extraction by bacterial memetic algorithmspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBeijingpor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.titleIFSA 2005 World Congresspor
person.familyNameCabrita
person.familyNameRuano
person.givenNameCristiano Lourenço
person.givenNameAntonio
person.identifier.ciencia-idFF1E-13A0-A269
person.identifier.orcid0000-0003-4946-0465
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id55958626100
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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