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dc.contributor.authorÇalık, Nurullah
dc.contributor.authorBelen, Mehmet Ali
dc.contributor.authorMahouti, Peyman
dc.date.accessioned2020-06-23T07:29:00Z
dc.date.available2020-06-23T07:29:00Z
dc.date.issued2020en_US
dc.identifier.citationÇalık, N., Belen, M. A., & Mahouti, P. (2020). Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 33(2), e2682.en_US
dc.identifier.urihttps://hdl.handle.net/11494/2114
dc.description.abstractThe relations between the antennas' geometrical parameters and design specifi-cations usually consist of linear and nonlinear components. Especially with theincrease of the requested performance measures, the design procedure becomesmuch more complex due to the conflicting performance criteria or designlimitations. To achieve a design with high performance with feasible designparameters, a fast, accurate, and reliable design optimization process is required.Herein, to have a fast, accurate, and high-performance capacitive-feed antennamodel to be used in design optimization problems, a modified multi-layerperceptron (M2LP) model has been proposed. The M2LP is an equivalent con-volutional neural network (CNN) model of a standard multilayer perceptron(MLP), where instead of traditional training parameters of MLP, more advancedtraining parameters of CNN models such as batch-norm layer, leaky-rectifiedlinear unit (ReLU) layer, and Adam training algorithm had been used. Further-more, the M2LP model had been used in a design optimization process and theobtained optimal antenna had been prototyped using 3D printing technology forjustification of the proposed M2LP model with experimental results. As can beseen from the results, the proposed M2LP model is a fast, accurate, and reliableregression model for design optimization of microwave antennas.en_US
dc.description.sponsorshipYildiz Teknik Universitesi, Grant/Award Number: FAP-2018-3427en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConvolutional neural networken_US
dc.subjectDeep learningen_US
dc.subjectModified multi-layeren_US
dc.subjectMicrowave antenna designen_US
dc.titleDeep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antennaen_US
dc.typearticleen_US
dc.relation.journalInternational Journal Of Numerical Modelling-Electronic Networks Devices And Fieldsen_US
dc.departmentAÇÜ, Rektörlüken_US
dc.authorid0000-0002-7351-4980en_US
dc.authorid0000-0001-5588-9407en_US
dc.authorid0000-0002-3351-4433en_US
dc.identifier.volume33en_US
dc.identifier.issue2en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1002/jnm.2682en_US
dc.contributor.institutionauthor[0-Belirlenecek]en_US


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