Scopus
Bandwidth modeling of U-slot rectangular microstrip antennas with artificial neural networks
Progress in Electromagnetics Research Symposium · Kasım 2012
Makale Bilgileri
DergiProgress in Electromagnetics Research Symposium
Yayın TarihiKasım 2012
Scopus ID2-s2.0-84868592905
Özet
In this study, rectangular U-slot microstrip antennas are modeled by an Artificial Neural Network structure and their bandwidth values are calculated with the model. The antenna parameters are taken from in the literature. The experimental results are compared with Artificial Neural Network results. In comparison of the experimental and Artificial Neural Network results, accuracy rates of training and testing were found to be 96.6% and 91.3%, respectively. It is obtained that Artificial Neural Network results are compatible with experimental bandwidth results from the literature. It is shown that possible bandwidth behavior of U-slot rectangular microstrip patch antennas with this Artificial Neural Network model is powerfully estimated.
Yazarlar (4)
1
Mustafa Serter Uzer
ORCID: 0000-0002-8829-5987
2
D. Uzer
3
Nihat Yilmaz
4
S. S. Gultekin
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey