Pre-Design of Multi-Band Planar Antennas by Artificial Neural Networks

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dc.contributor.authorLahiani, Mohamed Azizcs
dc.contributor.authorRaida, Zbyněkcs
dc.contributor.authorVeselý, Jiřícs
dc.contributor.authorOlivová, Janacs
dc.coverage.issue6cs
dc.coverage.volume12cs
dc.date.issued2023-03-12cs
dc.description.abstractIn this communication, artificial neural networks are used to estimate the initial structure of a multiband planar antenna. The neural networks are trained on a set of selected normalized multiband antennas characterized by time-efficient modal analysis with limited accuracy. Using the Deep Learning Toolbox in Matlab, several types of neural networks have been created and trained on the sample planar multiband antennas. In the neural network learning process, suitable network types were selected for the design of these antennas. The trained networks, depending on the desired operating bands, will select the appropriate antenna geometry. This is further optimized using Newton's method in HFSS. The use of the neural pre-design concept speeds up and simplifies the design of multiband planar antennas. The findings presented in this paper will be used to refine and accelerate the design of planar multiband antennas.en
dc.formattextcs
dc.format.extent1-11cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationElectronics (MDPI). 2023, vol. 12, issue 6, p. 1-11.en
dc.identifier.doi10.3390/electronics12061345cs
dc.identifier.issn2079-9292cs
dc.identifier.orcid0000-0003-4466-5496cs
dc.identifier.other183765cs
dc.identifier.researcheridC-4985-2018cs
dc.identifier.scopus15050960900cs
dc.identifier.urihttp://hdl.handle.net/11012/213555
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofElectronics (MDPI)cs
dc.relation.urihttps://www.mdpi.com/2079-9292/12/6/1345cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2079-9292/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmulti-band antennasen
dc.subjectfeed-forward neural networken
dc.subjectcascade-forward neural networken
dc.subjectprobabilistic neural networken
dc.subjectfull-wave analysisen
dc.titlePre-Design of Multi-Band Planar Antennas by Artificial Neural Networksen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183765en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:47en
sync.item.modts2025.01.17 15:14:41en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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