NEURAL NETWORK BASED ESTIMATION OF RESONANT FREQUENCY OF AN EQUILATERAL TRIANGULAR MICROSTRIP PATCH ANTENNA
dc.authorid | Can, Sultan/0000-0002-9001-0506 | |
dc.authorwosid | Can/AAH-3079-2020 | |
dc.contributor.author | Tora, Hakan | |
dc.contributor.author | Can, Sultan | |
dc.contributor.author | Can, Sultan | |
dc.contributor.other | Airframe and Powerplant Maintenance | |
dc.contributor.other | Department of Electrical & Electronics Engineering | |
dc.date.accessioned | 2024-10-06T10:56:56Z | |
dc.date.available | 2024-10-06T10:56:56Z | |
dc.date.issued | 2013 | |
dc.department | Atılım University | en_US |
dc.department-temp | [Kapusuz, Kamil Yavuz; Tora, Hakan] Atilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkey; [Can, Sultan] Ankara Univ, Dept Elect Engn, TR-06100 Ankara, Turkey | en_US |
dc.description | Can, Sultan/0000-0002-9001-0506 | en_US |
dc.description.abstract | This study proposes an artificial neural network (ANN) model in order to approximate the resonant frequencies of equilateral triangular patch antennas. The neural network structure applied here is trained and tested for both single-layer and double-layer antennas. It is shown upon experiment that the resonant frequencies obtained from the neural network are both more accurate than the calculated frequencies by formula and satisfactorily close to the measured frequencies. Results appear to be promising as per the available literature. This paper also may offer more efficient approach to developing antennas of such nature. While the total absolute error of 7 MHz and the average error of 0,09 % are achieved for single-layer antenna, the total absolute and average errors are 49 MHz and 0,07 % for the double-layered antenna, respectively. | en_US |
dc.description.woscitationindex | Science Citation Index Expanded | |
dc.identifier.citation | 1 | |
dc.identifier.doi | [WOS-DOI-BELIRLENECEK-315] | |
dc.identifier.endpage | 960 | en_US |
dc.identifier.issn | 1330-3651 | |
dc.identifier.issn | 1848-6339 | |
dc.identifier.issue | 6 | en_US |
dc.identifier.scopusquality | Q3 | |
dc.identifier.startpage | 955 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14411/8624 | |
dc.identifier.volume | 20 | en_US |
dc.identifier.wos | WOS:000328961800005 | |
dc.identifier.wosquality | Q4 | |
dc.language.iso | en | en_US |
dc.publisher | Univ Osijek, Tech Fac | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | microstrip antenna | en_US |
dc.subject | neural network | en_US |
dc.subject | resonant frequency | en_US |
dc.title | NEURAL NETWORK BASED ESTIMATION OF RESONANT FREQUENCY OF AN EQUILATERAL TRIANGULAR MICROSTRIP PATCH ANTENNA | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
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