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COMPUTATIONAL EFFICIENCY OF AN ARTIFICIAL NEURAL NETWORK IN OPTIMIZING THE OPERATING CONDITIONS OF PATCH ANTENNAS

Subject and Purpose. Designing antennas with desired operational features is a complex optimization problem addressing a large number of parameters and nonlinear relationships. Artificial neural networks (ANNs) have had strong potential in antenna engineering. The ability to approximate nonlinear fu...

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Bibliographische Detailangaben
Datum:	2026
Hauptverfasser:	Butov, S., Tuz, A., Morozova, O., Vinnichenko, S., Khardikov, O., Shulga, S.
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	Видавничий дім «Академперіодика» 2026
Schlagworte:	artificial neural network (ANN) activation function adaptive optimizer microstrip patch antenna automatic antenna design
Online Zugang:	http://rpra-journal.org.ua/index.php/ra/article/view/1494
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Radio physics and radio astronomy

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Radio physics and radio astronomy

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