IMPEDANCE CIRCUIT IDENTIFICATION THROUGH EVOLUTIONARY ALGORITHMS

dc.contributor.authorJaneiro, Fernando M.
dc.contributor.authorRamos, Pedro M.
dc.date.accessioned2012-01-19T11:18:21Z
dc.date.available2012-01-19T11:18:21Z
dc.date.issued2011-09
dc.description.abstractImpedance circuit identification through spectroscopy is used to characterize sensors. When the circuit topology is known, genetic algorithms can be used to obtain the circuit component values. Gene expression programming can be used to search for an adequate circuit topology. In this paper, an improved version of the impedance circuit identification based on gene expression programming and hybrid genetic algorithm is presented. Numerical results based on a real sensor are presented.por
dc.identifier.authoremailfmtj@uevora.pt
dc.identifier.authoremailnd
dc.identifier.scientificarea501por
dc.identifier.sharewithDepartamento de Físicapor
dc.identifier.urihttp://hdl.handle.net/10174/3841
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationsimpor
dc.identifier.withposternaopor
dc.language.isoengpor
dc.publisherIMEKO Internation Measurement Confederationpor
dc.rightsrestrictedAccesspor
dc.subjectImpedance spectroscopypor
dc.subjectcircuit topology identificationpor
dc.subjectgenetic algorithmspor
dc.subjectgene expression programmingpor
dc.titleIMPEDANCE CIRCUIT IDENTIFICATION THROUGH EVOLUTIONARY ALGORITHMSpor
dc.typelecturepor

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