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Spectral high resolution feature selection for retrieval of combustion temperature profiles

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorGarcía-Cuesta, Esteban
dc.contributor.authorGalván, Inés M.
dc.contributor.authorCastro, Antonio J. de
dc.date.accessioned2009-06-22T10:57:14Z
dc.date.available2009-06-22T10:57:14Z
dc.date.issued2006
dc.descriptionProceeding of: 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 (Burgos, Spain, September 20-23, 2006)
dc.description.abstractThe use of high spectral resolution measurements to obtain a retrieval of certain physical properties related with the radiative transfer of energy leads a priori to a better accuracy. But this improvement in accuracy is not easy to achieve due to the great amount of data which makes difficult any treatment over it and it's redundancies. To solve this problem, a pick selection based on principal component analysis has been adopted in order to make the mandatory feature selection over the different channels. In this paper, the capability to retrieve the temperature profile in a combustion environment using neural networks jointly with this spectral high resolution feature selection method is studied.
dc.description.statusPublicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIntelligent Data Engineering and Automated Learning. IDEAL 2006. Berlin : Springer, 2006, p. 754-762
dc.identifier.doi10.1007/11875581_91
dc.identifier.isbnISBN 978-3-540-45485-4
dc.identifier.issn0302-9743 (Print)
dc.identifier.issn1611-3349 (Online)
dc.identifier.publicationfirstpage754
dc.identifier.publicationlastpage762
dc.identifier.publicationtitleIntelligent Data Engineering and Automated Learning. IDEAL 2006
dc.identifier.publicationvolume4224
dc.identifier.urihttp://hdl.handle.net/10016/4470
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventnumber7
dc.relation.eventplaceBurgos (Spain)
dc.relation.eventplaceSeptember 20-23, 2006
dc.relation.eventtitleInternational Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
dc.relation.ispartofseriesLecture notes in computer science; 4224
dc.relation.publisherversionhttp://dx.doi.org/10.1007/11875581_91
dc.rights©Springer
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherSpectral high resolution
dc.subject.otherCombustion temperature
dc.titleSpectral high resolution feature selection for retrieval of combustion temperature profiles
dc.typeconference paper*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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