Araştırma Makalesi

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

Cilt: 1 Sayı: 1 30 Ağustos 2021
  • Ismail Akdag *
PDF İndir

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

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. [1] C. R. M. Silva and S. R. Martins, “An Adaptive Evolutionary Algorithm for UWB Microstrip Antennas Optimization Using a Machine Learning Technique,” Microw. Opt. Technol. Lett., vol. 55, no. 8, pp. 1864–1868, 2013, doi: https://doi.org/10.1002/mop.27692.
  2. [2] Z. Zheng, X. Chen, and K. Huang, “Application of support vector machines to the antenna design,” Int. J. RF Microw. Comput. Eng., vol. 21, no. 1, pp. 85–90, 2011, doi: https://doi.org/10.1002/mmce.20491.
  3. [3] J. Á. Muñiz, R. G. Ayestarán, J. Laviada, and F. Las-Heras, “Support vector regression for near_field multifocused antenna arrays considering mutual coupling,” Int. J. Numer. Model. Networks Devices Fields, vol. 29, pp. 146–156, 2016.
  4. [4] T. Khan and C. Roy, “Prediction of slot-position and slot-size of a microstrip antenna using support vector regression,” Int. J. RF Microw. Comput. Eng., vol. 29, no. 3, p. e21623, 2019, doi: https://doi.org/10.1002/mmce.21623.
  5. [5] S. Fei-Yan, T. Yu-Bo, and R. Zuo-Lin, “Modeling the resonant frequency of compact microstrip antenna by the PSO-based SVM with the hybrid kernel function,” Int. J. Numer. Model. Electron. Networks, Devices Fields, vol. 29, no. 6, pp. 1129–1139, 2016, doi: https://doi.org/10.1002/jnm.2171.
  6. [6] K. He, X. Zhang, S. Ren, and J. Sun, “Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification,” IEEE Int. Conf. Comput. Vis. (ICCV 2015), vol. 1502, 2015, doi: 10.1109/ICCV.2015.123.
  7. [7] R. Geirhos, D. Janssen, H. Schütt, J. Rauber, M. Bethge, and F. Wichmann, “Comparing deep neural networks against humans: object recognition when the signal gets weaker,” 2017.
  8. [8] W. Zhu et al., “AnatomyNet: Deep Learning for Fast and Fully Automated Whole‐volume Segmentation of Head and Neck Anatomy,” Med. Phys., vol. 46, 2018, doi: 10.1002/mp.13300.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka

Bölüm

Araştırma Makalesi

Yazarlar

Ismail Akdag * Bu kişi benim
Türkiye

Yayımlanma Tarihi

30 Ağustos 2021

Gönderilme Tarihi

9 Temmuz 2021

Kabul Tarihi

3 Ağustos 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 1 Sayı: 1

Kaynak Göster

APA
Akdag, I. (2021). Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models. Journal of Artificial Intelligence and Data Science, 1(1), 63-70. https://izlik.org/JA97ME25UN
AMA
1.Akdag I. Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models. Journal of Artificial Intelligence and Data Science. 2021;1(1):63-70. https://izlik.org/JA97ME25UN
Chicago
Akdag, Ismail. 2021. “Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models”. Journal of Artificial Intelligence and Data Science 1 (1): 63-70. https://izlik.org/JA97ME25UN.
EndNote
Akdag I (01 Ağustos 2021) Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models. Journal of Artificial Intelligence and Data Science 1 1 63–70.
IEEE
[1]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, sy 1, ss. 63–70, Ağu. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA97ME25UN
ISNAD
Akdag, Ismail. “Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models”. Journal of Artificial Intelligence and Data Science 1/1 (01 Ağustos 2021): 63-70. https://izlik.org/JA97ME25UN.
JAMA
1.Akdag I. Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models. Journal of Artificial Intelligence and Data Science. 2021;1:63–70.
MLA
Akdag, Ismail. “Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models”. Journal of Artificial Intelligence and Data Science, c. 1, sy 1, Ağustos 2021, ss. 63-70, https://izlik.org/JA97ME25UN.
Vancouver
1.Ismail Akdag. Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models. Journal of Artificial Intelligence and Data Science [Internet]. 01 Ağustos 2021;1(1):63-70. Erişim adresi: https://izlik.org/JA97ME25UN