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Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

2003Conference object Restricted access
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dc.contributor.authorCabrita, Cristiano Lourenço
dc.contributor.authorBotzheim, J.
dc.contributor.authorRuano, Antonio
dc.contributor.authorKóczy, László T.
dc.date.accessioned2013-02-11T10:18:36Z
dc.date.available2013-02-11T10:18:36Z
dc.date.issued2003
dc.date.updated2013-01-27T23:18:35Z
dc.description.abstractIn the field of control systems it is common to use techniques based on model adaptation to carry out control for plants for which mathematical analysis may be intricate. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this line, this paper gives a perspective on the quality of results given by two different biologically connected learning algorithms for the design of B-spline neural networks (BNN) and fuzzy systems (FS). One approach used is the Genetic Programming (GP) for BNN design and the other is the Bacterial Evolutionary Algorithm (BEA) applied for fuzzy rule extraction. Also, the facility to incorporate a multi-objective approach to the GP algorithm is outlined, enabling the designer to obtain models more adequate for their intended use.por
dc.identifier.citationCabrita, C.; Botzheim, J.; Ruano, A. E.; Koczy, L.T. Genetic programming and bacterial algorithm for neural networks and fuzzy systems design, Trabalho apresentado em IFAC Int. Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), In IFAC Int. Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), Faro, 2003.por
dc.identifier.otherAUT: ARU00698; CCA01443;
dc.identifier.urihttp://hdl.handle.net/10400.1/2283
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectConstructive algorithmspor
dc.subjectB-splinespor
dc.subjectGenetic programmingpor
dc.subjectFuzzy rule basepor
dc.subjectBacterial evolutionary algorithmpor
dc.titleGenetic programming and bacterial algorithm for neural networks and fuzzy systems designpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaropor
oaire.citation.endPage448por
oaire.citation.startPage443por
oaire.citation.titleIFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003)por
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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