English español

Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Ponencias, Discursos y Conferencias >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/55801

Title: Evaluation of the Impact of the Angle of Incidence Discretization in Surrogate Models of Periodic Cells in Reflectarray Antenna Analysis
Author(s): Rodríguez Prado, Daniel
López Fernández, Jesús Alberto
Arrebola Baena, Manuel
Goussetis, George
Keywords: Machine learning
Support vector regression (SVR)
Surrogate model
Angle of incidence
Reflectarray analysis
Issue date: Jul-2020
Publisher: IEEE
Abstract: Different strategies for the discretization of the angles of incidence and its influence on reflectarray analysis based on surrogate models with support vector regression (SVR) are studied. One SVR per pair of angles of incidence is considered, and it is shown that while the copolar pattern is robust against the discretization of the angle of incidence, the crosspolar pattern presents a higher sensitivity with regard to the baseline scenario
Description: IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (Montreal. 2020)
URI: http://hdl.handle.net/10651/55801
Sponsored: This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades under project TEC2017-86619-R (ARTEINE); 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/2018/000191
Project id.: TEC2017-86619-R (ARTEINE)
TEC2016-75103-C2-1-R (MYRADA)
Appears in Collections:Ponencias, Discursos y Conferencias
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

Files in This Item:

File Description SizeFormat
APS 2020 - SVM 4D Discretization - DRP_v3.pdfAPS 2020 - SVM 4D Discretization - DRP_v3175,3 kBAdobe PDFView/Open

Exportar a Mendeley

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Base de Datos de Autoridades Biblioteca Universitaria Consultas / Sugerencias