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Electrochemical multi-sensors device coupled with heuristic or meta-heuristic selection algorithms for single-cultivar olive oil classification

2014Conference paper Open access
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dc.contributor.authorPeres, António M.
dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorPereira, J.A.
dc.contributor.authorDias, L.G.
dc.date.accessioned2015-05-11T14:45:55Z
dc.date.available2015-05-11T14:45:55Z
dc.date.issued2014
dc.description.abstractPotentiometric electrochemical multi-sensors’ performance highly depends on the capability of selecting the best set of sensors. Indeed, signals are usually collinear resulting in over-fitted multivariate models with low predictive applicability. In this work, a comparative study was made to evaluate the predictive performance of classification models coupled with heuristic or metaheuristic variable selection algorithms. In this study, eleven single-cultivar extra virgin olive oils, from two crop years, were used. The results demonstrated that linear discriminant analysis with simulated annealing algorithm allowed selecting the best subset of sensors enabling 100% of correct cross-validation classifications, considering samples split by crop year.por
dc.description.sponsorshipThis work was partially co-financed by FCT and FEDER under Program COMPETE (Project PEst-C/EQB/LA0020/2013); by the Strategic Project PEst-OE/EQB/LA0023/2013 and by the project ref. RECI/BBBEBI/ 0179/2012 (project number FCOMP-01-0124-FEDER-027462) funded by Fundação para a Ciência e a Tecnologia.
dc.identifier.citationPeres, António M.; Veloso, Ana C.A.; Pereira, J.A.; Dias, L.G. (2014). Electrochemical multi-sensors device coupled with heuristic or meta-heuristic selection algorithms for single-cultivar olive oil classification. In XXVIII EUROSENSORS e Procedia Engineering. 87, p. 192-195por
dc.identifier.doi10.1016/j.proeng.2014.11.616
dc.identifier.urihttp://hdl.handle.net/10198/11814
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.titleElectrochemical multi-sensors device coupled with heuristic or meta-heuristic selection algorithms for single-cultivar olive oil classificationpor
dc.typeconference paper
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FEQB%2FLA0023%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/COMPETE/RECI%2FBBB-EBI%2F0179%2F2012/PT
oaire.citation.conferencePlaceEUROSENSORS 2014, Brescia, Itáliapor
oaire.citation.endPage195por
oaire.citation.startPage192por
oaire.citation.titleProcedia Engineeringpor
oaire.citation.volume87por
oaire.fundingStream3599-PPCDT
oaire.fundingStreamCOMPETE
person.familyNamePeres
person.familyNamePereira
person.familyNameDias
person.givenNameAntónio M.
person.givenNameJosé Alberto
person.givenNameLuís G.
person.identifier107333
person.identifier.ciencia-idCF16-5443-F420
person.identifier.ciencia-id611F-80B2-A7C1
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.orcid0000-0001-6595-9165
person.identifier.orcid0000-0002-2260-0600
person.identifier.orcid0000-0002-1210-4259
person.identifier.ridI-8470-2012
person.identifier.ridL-6798-2014
person.identifier.scopus-author-id7102331969
person.identifier.scopus-author-id57204366348
person.identifier.scopus-author-id23569169900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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