Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-square error value of 0.25% with an R2 value of 95.54% was obtained with the Random Forest regression model, and a mean-square error value of 0.85% has been obtained with an R2 value of 91.32% in the multiple-output regression technique.

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regression parameters models machine obtained mean-square antenna complex single-output scattering evaluated linear performance prediction Abstract Random Forest multiple-output technique output evaluation different learning-based estimate return operational resonant frequency U-slotted utilized consequence methods learning Distinct design
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Detaylı Görünüm
Eser Adı
(dc.title)
Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models
Eser Sahibi
(dc.contributor.author)
İsmail AKDAĞ
Yayın Tarihi
(dc.date.issued)
2021
Yayıncı
(dc.publisher)
Journal of Artificial Intelligence and Data Science
Tür
(dc.type)
Makale
Özet
(dc.description.abstract)
Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-square error value of 0.25% with an R2 value of 95.54% was obtained with the Random Forest regression model, and a mean-square error value of 0.85% has been obtained with an R2 value of 91.32% in the multiple-output regression technique.
Kayıt Giriş Tarihi
(dc.date.accessioned)
06.06.2022
Açık Erişim Tarihi
(dc.date.available)
2022-06-06
Yayın Dili
(dc.language.iso)
eng
Konu Başlıkları
(dc.subject)
Machine learning
Konu Başlıkları
(dc.subject)
Radio frequency identification
Konu Başlıkları
(dc.subject)
Regression
Konu Başlıkları
(dc.subject)
RFID
Konu Başlıkları
(dc.subject)
Scattering parameters
Atıf için Künye
(dc.identifier.citation)
I. Akdag , "Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models", Journal of Artificial Intelligence and Data Science, c. 1, sayı. 1, ss. 63-70, Ağu. 2021
ISSN
(dc.identifier.issn)
2791-8335
Yayının ilk sayfa sayısı
(dc.identifier.startpage)
63
Yayının son sayfa sayısı
(dc.identifier.endpage)
70
Dergi Sayısı
(dc.identifier.issue)
1
Dergi Cilt
(dc.identifier.volume)
1
Haklar
(dc.rights)
Open access
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/11469/1931
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