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Neuro-fuzzy modelling of a plant growth in a hydroponic greenhouse

dc.contributor.authorKazheunikau, M.
dc.contributor.authorFerreira, P. M.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-07T15:18:51Z
dc.date.available2013-02-07T15:18:51Z
dc.date.issued2004
dc.date.updated2013-01-27T20:26:28Z
dc.description.abstractThis paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identification techniques are applied for the modeling, based on fuzzy logic and B-spline neural networks, for two growth models. For the design of these models subtractive clustering, the ASMOD algorithm and genetic programming are employed and compared. The developed approach has been successfully applied for the prediction of tomato growth.por
dc.identifier.citationKazheunikau, M.; Ferreira, P.M.; Ruano, A. E. Neuro-Fuzzy Modelling of a Plant Growth in a Hydroponic Greenhouse, Trabalho apresentado em 6th Portuguese Conference on Automatic Control (Controlo 2004), In 6th Portuguese Conference on Automatic Control (Controlo 2004), Faro, 2004.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2257
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectNonlinear modelspor
dc.subjectFuzzy modelingpor
dc.subjectNeural networkspor
dc.subjectGenetic programmingpor
dc.subjectGreenhouse environmental controlpor
dc.titleNeuro-fuzzy modelling of a plant growth in a hydroponic greenhousepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaropor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.title6th Portuguese Conference on Automatic Control (Controlo 2004)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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