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Fuzzy rule extraction by bacterial memetic algorithms

dc.contributor.authorBotzheim, J.
dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorKóczy, László T.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-06T14:42:46Z
dc.date.available2013-02-06T14:42:46Z
dc.date.issued2009
dc.date.updated2013-01-26T17:29:24Z
dc.description.abstractIn our previous papers, fuzzy model identification methods were discussed. The bacterial evolutionary 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 is usually called memetic algorithm. In this paper, a new kind of memetic algorithm, the bacterial memetic algorithm, is introduced for fuzzy rule extraction. The paper presents how the bacterial evolutionary algorithm can be improved with the Levenberg–Marquardt technique.por
dc.identifier.citationBotzheim, J.; Cabrita, C.; Kóczy, L. T.; Ruano, A. E. Fuzzy rule extraction by bacterial memetic algorithms, International Journal of Intelligent Systems, 24, 3, 312-339, 2009.por
dc.identifier.doihttp://dx.doi.org710.1002/int.20338
dc.identifier.issn08848173
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/2237
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleFuzzy rule extraction by bacterial memetic algorithmspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage339por
oaire.citation.issue2por
oaire.citation.startPage312por
oaire.citation.titleInternational Journal of Intelligent Systemspor
oaire.citation.volume24por
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.typearticlepor
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery081b091f-c9fa-470a-9a28-51fe4c85864a

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