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Genetic and bacterial programming for B-Spline neural networks design

dc.contributor.authorBotzheim, J.pt_PT
dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorKóczy, László T.pt_PT
dc.contributor.authorRuano, Antonio
dc.date.accessioned2009-02-13T17:09:24Z
dc.date.available2009-02-13T17:09:24Z
dc.date.issued2007
dc.description.abstractThe design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.pt_PT
dc.identifier.citationJournal of Advanced Computational Intelligence and Intelligent Informatics. - [S.l.]. - Vol. 11, nº2 (2007), p. 220-230pt_PT
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/74
dc.language.isoengpt_PT
dc.subjectProgramação genéticapt_PT
dc.subjectProgramação bacterianapt_PT
dc.subjectRedes neuronaispt_PT
dc.subjectB-Splinespt_PT
dc.subjectConstructive algorithmspt_PT
dc.subjectB-splinespt_PT
dc.subjectBacterial programmingpt_PT
dc.subjectGenetic programmingpt_PT
dc.titleGenetic and bacterial programming for B-Spline neural networks designpt_PT
dc.typejournal article
dspace.entity.typePublication
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.rightsrestrictedAccess
rcaap.typearticlept_PT
relation.isAuthorOfPublication081b091f-c9fa-470a-9a28-51fe4c85864a
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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