Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 1303-1304 |
| Sayfa sayısı | 2 |
| ISBN (Elektronik) | 9798350369908 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2024 |
| Etkinlik | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy Süre: 14 Tem 2024 → 19 Tem 2024 |
Yayın serisi
| Adı | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
|---|---|
| ISSN (Basılı) | 1522-3965 |
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| ???event.eventtypes.event.conference??? | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 |
|---|---|
| Ülke/Bölge | Italy |
| Şehir | Florence |
| Periyot | 14/07/24 → 19/07/24 |
Bibliyografik not
Publisher Copyright:© 2024 IEEE.
Parmak izi
Optimization of a circular slotted patch with a defected grounded monopole patch antenna using artificial neural networks' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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