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 language | English |
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Title of host publication | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1303-1304 |
Number of pages | 2 |
ISBN (Electronic) | 9798350369908 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy Duration: 14 Jul 2024 → 19 Jul 2024 |
Publication series
Name | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
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ISSN (Print) | 1522-3965 |
Conference
Conference | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 |
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Country/Territory | Italy |
City | Florence |
Period | 14/07/24 → 19/07/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.