Optimization of a circular slotted patch with a defected grounded monopole patch antenna using artificial neural networks

Rania Ibtissam Benmelouka, Djamel Sayad, Rami Zegadi, Mohamed Lamine Bouknia, Yamina Tighilt, Kamil Karaçuha, Issa Elferghani, Jonathan Rodriguez, Chemseddine Zebiri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1303-1304
Number of pages2
ISBN (Electronic)9798350369908
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy
Duration: 14 Jul 202419 Jul 2024

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Conference

Conference2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Country/TerritoryItaly
CityFlorence
Period14/07/2419/07/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

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