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Bacterial algorithm applied for fuzzy rule extraction

dc.contributor.authorBotzheim, J.
dc.contributor.authorHámori, B.
dc.contributor.authorKóczy, László T.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-11T11:06:15Z
dc.date.available2013-02-11T11:06:15Z
dc.date.issued2002
dc.date.updated2013-01-27T23:24:52Z
dc.description.abstractThis paper presents a method of using the so-colled "bacterial algorithm" (4,5) for extracting a fuzzy rule base from a training set. The bewly proposed bacterial evolutionary algorithm (BEA) is shown. In our application one bacterium corresponds to a fuzzy rule system.pt_PT
dc.identifier.citationBotzheim, J.; Hámori, B.; Koczy, L. T.; Ruano, A. E. Bacterial algorithm applied for fuzzy rule extraction, Trabalho apresentado em 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), In 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Annecy, 2002.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2293
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectBacterial evolutionary algorithmpor
dc.subjectFuzzy rule basepor
dc.titleBacterial algorithm applied for fuzzy rule extractionpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAnnecypor
oaire.citation.endPage1026por
oaire.citation.startPage1021por
oaire.citation.title9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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