A Comparative Analysis Between Genetic Algorithms and Complex Nonlinear Least Squares on Electrical Impedance Characterization

dc.contributor.authorJaneiro, Fernando M.
dc.contributor.authorRamos, Pedro M.
dc.date.accessioned2017-01-26T10:27:23Z
dc.date.available2017-01-26T10:27:23Z
dc.date.issued2016-05
dc.description.abstractThis paper compares the performance of the complex nonlinear least squares algorithm implemented in the LEVM/LEVMW software with the performance of a genetic algorithm in the characterization of an electrical impedance of known topology. The effect of the number of measured frequency points and of measurement uncertainty on the estimation of circuit parameters is presented. The analysis is performed on the equivalent circuit impedance of a humidity sensor.por
dc.identifier.authoremailfmtj@uevora.pt
dc.identifier.authoremailnd
dc.identifier.localTaipei, Taiwan
dc.identifier.pagina6
dc.identifier.scientificarea496por
dc.identifier.sharewithFISpor
dc.identifier.urihttp://hdl.handle.net/10174/20067
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationsimpor
dc.identifier.withposternaopor
dc.language.isoengpor
dc.publisherIEEEpor
dc.rightsrestrictedAccesspor
dc.subjectgenetic algorithmspor
dc.subjectcomplex nonlinear least squarespor
dc.subjectimpedance characterizationpor
dc.subjectelectrical impedance spectroscopypor
dc.titleA Comparative Analysis Between Genetic Algorithms and Complex Nonlinear Least Squares on Electrical Impedance Characterizationpor
dc.typelecturepor

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