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Performance evaluation of 2D vs 4D surrogate models of reflectarray unit cells based on support vector regression

dc.contributor.authorRodriguez Prado, Daniel 
dc.contributor.authorLópez Fernández, Jesús Alberto 
dc.contributor.authorArrebola Baena, Manuel
dc.descriptionEuropean Conference on Antennas and Propagation, EuCAP 2021 (15th. 2021. Düsseldorf, Germany)
dc.description.abstractSurrogate models of reflectarray unit cells are usually generated employing a number of input variables such as geometrical features of the cell, frequency and angles of incidence. Here we show how surrogate models based on support vector regression can be improved by removing their dependence on the angle of incidence. This is done by grouping the reflectarray elements under a relatively small set of incidence angles. Thus, instead of generating models with the angles of incidence as input variables, models are obtained per angle of incidence pair, reducing dimensionality to improve their performance without significant impact on the reflectarray analysis
dc.description.sponsorshipThis work was supported in part by the Ministerio de Ciencia, Innovación y Universidades under projects TEC2017-86619-R (ARTEINE) and IJC2018-035696-I; by the Ministerio de Economía, Industria y Competitividad under project TEC2016-75103-C2-1-R (MYRADA); by the Gobierno del Principado de Asturias/FEDER under Project GRUPIN-IDI/2018/
dc.relation.ispartof15th European Conference on Antennas and Propagation (EuCAP)spa
dc.rightsAtribución 4.0 Internacional*
dc.subjectmachine learningspa
dc.subjectsurrogate modelspa
dc.subjectsupport vector regression (SVR)spa
dc.subjectangle of incidencespa
dc.subjectreflectarray antennaspa
dc.titlePerformance evaluation of 2D vs 4D surrogate models of reflectarray unit cells based on support vector regressionspa
dc.relation.projectIDMCIU/TEC2017-86619-R (ARTEINE)spa
dc.relation.projectIDMINECO/TEC2016-75103-C2-1-R (MYRADA)spa

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