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Single black-box models for two-point non-invasive temperature prediction

dc.contributor.authorTeixeira, C. A.
dc.contributor.authorRuano, M. Graça
dc.contributor.authorRuano, Antonio
dc.contributor.authorPereira, W. C. A.
dc.contributor.authorNegreira, C.
dc.date.accessioned2013-02-06T15:03:17Z
dc.date.available2013-02-06T15:03:17Z
dc.date.issued2006
dc.date.updated2013-01-26T19:03:36Z
dc.description.abstractIn this paper the performance of a genetically selected radial basis functions neural network is evaluated for non-invasive two-point temperature estimation in a homogeneous medium, irradiated by therapeutic ultrasound at physiotherapeutic levels. In this work a single neural network was assigned to estimate the temperature profile at the two considered points, and more consistent results were obtained than when considering one model for each point. This result was possible by increasing the model complexity. The best model predicts the temperature from two unseen data sequences during approximately 2 hours, with a maximum absolute error less than 0.5 oC, as desired for a therapeutic temperature estimator.por
dc.identifier.citationTeixeira, C. A.; Ruano, M. G.; Ruano, A. E.; Pereira, W. C.A.; Negreira, C. Single Black-Box Models for Two-Point Non-Invasive Temperature Prediction, Trabalho apresentado em 6th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS’06), In Proceedings of the 6th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS’06), Reims, 2006.por
dc.identifier.otherAUT: MRU00118; ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2241
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectTemperature profilespor
dc.subjectTemperature controlpor
dc.subjectNeural Networks-modelspor
dc.subjectRadial base function networkspor
dc.subjectMultiobjective optimisationspor
dc.titleSingle black-box models for two-point non-invasive temperature predictionpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceReimspor
oaire.citation.endPage140por
oaire.citation.startPage135por
oaire.citation.title6th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS’06)por
person.familyNameTeixeira
person.familyNameRuano
person.familyNameRuano
person.familyNamePereira
person.givenNameCésar
person.givenNameMaria
person.givenNameAntonio
person.givenNameWagner
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0001-9396-1211
person.identifier.orcid0000-0002-0014-9257
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0001-5880-3242
person.identifier.ridA-3477-2012
person.identifier.ridA-8321-2011
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id55826531700
person.identifier.scopus-author-id7004483805
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id35581987400
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication5f0824cf-c471-4f03-8134-8003affbabe3
relation.isAuthorOfPublication.latestForDiscovery29e9844d-9355-4f2a-badf-9e7ad3117cdb

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