TY - GEN
T1 - Optimization of a circular slotted patch with a defected grounded monopole patch antenna using artificial neural networks
AU - Benmelouka, Rania Ibtissam
AU - Sayad, Djamel
AU - Zegadi, Rami
AU - Bouknia, Mohamed Lamine
AU - Tighilt, Yamina
AU - Karaçuha, Kamil
AU - Elferghani, Issa
AU - Rodriguez, Jonathan
AU - Zebiri, Chemseddine
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/9/30
Y1 - 2024/9/30
N2 - This article describes the use of artificial neural networks for the estimate of reflection coefficients. In this work, synthesis and analysis are studied where parametric analysis presents the simulated values necessary for training and testing neural networks with HFSS simulation software. The simulation and results produced by ANNs are compared with HFSS simulation.
AB - This article describes the use of artificial neural networks for the estimate of reflection coefficients. In this work, synthesis and analysis are studied where parametric analysis presents the simulated values necessary for training and testing neural networks with HFSS simulation software. The simulation and results produced by ANNs are compared with HFSS simulation.
U2 - 10.1109/AP-S/INC-USNC-URSI52054.2024.10687197
DO - 10.1109/AP-S/INC-USNC-URSI52054.2024.10687197
M3 - Conference contribution
AN - SCOPUS:85207075892
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 1303
EP - 1304
BT - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Y2 - 14 July 2024 through 19 July 2024
ER -