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dc.contributor.authorSedano, Javier
dc.contributor.authorCuriel Herrera, Leticia Elena 
dc.contributor.authorCorchado, Emilio 
dc.contributor.authorCal, Enrique de la
dc.contributor.authorVillar, José Ramón
dc.date.accessioned2024-02-05T12:26:36Z
dc.date.available2024-02-05T12:26:36Z
dc.date.issued2010-04
dc.identifier.issn1069-2509
dc.identifier.urihttp://hdl.handle.net/10259/8583
dc.description.abstractThe detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform thermal insulation failure detection. It proposes the use of Exploratory Projection Pursuit methods to study the relation between input and output variables and data dimensionality reduction. It also applies system identification theory and neural networks for modeling the thermal dynamics of the building. Finally, the novel model is used to predict dynamic thermal biases, and two real cases of study as part of its empirical validation.en
dc.description.sponsorshipThis research has been partially supported through projects of the Juna of Castilla y León (JCyL): [BU006A08] and Business intelligent for production, Technological Institute of Castilla y León (ITCL) and investment and services agency (ADE), project of the Spanish Ministry of Education and Innovation [CIT-020000-2008-2] and project of Spanish Ministry of Science and Technology [TIN2008-06681-C06-04].en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherIOS Pressen
dc.relation.ispartofIntegrated Computer-Aided Engineering. 2010, V. 17, n. 2, p. 103-115en
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleA soft computing method for detecting lifetime building thermal insulation failuresen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccesses
dc.relation.publisherversionhttps://content.iospress.com/articles/integrated-computer-aided-engineering/ica00337es
dc.identifier.doi10.3233/ICA-2010-0337
dc.identifier.essn1875-8835
dc.journal.titleIntegrated Computer-Aided Engineeringen
dc.volume.number17es
dc.issue.number2es
dc.page.initial103es
dc.page.final115es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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