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Greenhouse air temperature modelling with radial basis function neural networks

dc.contributor.authorFerreira, P. M.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-12T09:08:55Z
dc.date.available2013-02-12T09:08:55Z
dc.date.issued2001
dc.date.updated2013-01-28T07:41:03Z
dc.description.abstractResults on the application of radial basis function neural networks to model the inside air temperature of a hydroponic greenhouse as a function of the outside air temperature and solar radiation, and the inside relative humidity, are presented. As the model is intended to be incorporated in an predictive control strategy both off-line and on-line methods are important to accomplish this task. In this paper hybrid off-line training methods and on-line learning algorithms are analysed. Results from a previously presented off-line method and its application to on-line learning are also presented. It exploits the linear-nonlinear structure found in radial basis function neural networks.por
dc.identifier.citationFerreira, P. M.; Ruano, A. E. Greenhouse Air Temperature Modelling with Radial Basis Function Neural Networks, Trabalho apresentado em Management, Identification and Control of Agriculture Buildings, In Management, Identification and Control of Agriculture Buildings, Vila Real, 2001.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2303
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNeural Networkspor
dc.subjectGreenhouse Environmental Controlpor
dc.subjectModellingpor
dc.subjectRadial Basispor
dc.titleGreenhouse air temperature modelling with radial basis function neural networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVila Realpor
oaire.citation.endPage8por
oaire.citation.startPage1por
oaire.citation.titleManagement, Identification and Control of Agriculture Buildingspor
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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