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Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems

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dc.contributor.authorFerreira, P. M.
dc.contributor.authorFaria, E. A.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-01-31T11:03:38Z
dc.date.available2013-01-31T11:03:38Z
dc.date.issued2000
dc.date.updated2013-01-28T09:35:14Z
dc.description.abstractThe problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.pt_PT
dc.identifier.citationFerreira, P. M.; Ruano, A. E. Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems, Trabalho apresentado em 4º Encontro Português de Controlo Automático (Controlo’00), In 4º Encontro Português de Controlo Automático (Controlo’00), Guimarães, 2000.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2158
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNeural Networkspor
dc.subjectGreenhouse environmental controlpor
dc.subjectModelingpor
dc.subjectRadial Basis Functionspor
dc.titleComparison of on-line learning algorithms for RBF models in greenhouse environmental control problemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarãespor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.title4º Encontro Português de Controlo Automático (Controlo’00)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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