Estimation and Design of U-slot Physical Patch Parameters with Artificial Neural Networks

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dc.contributor.authorUzer, D.
dc.contributor.authorGultekin, S. S.
dc.contributor.authorDundar, O.
dc.date.accessioned2020-03-26T18:25:32Z
dc.date.available2020-03-26T18:25:32Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.descriptionProgress in Electromagnetics Research Symposium -- MAR 27-30, 2012 -- Kuala Lumpur, MALAYSIAen_US
dc.description.abstractIn this study, physical U slot parameters of rectangular microstrip patch antennas as vertical and horizontal slot lengths and widths with the patch lengths and widths are determined by the help of Artificial Neural Networks. The aim of the study is calculation of physical U slot patch parameters without any mathematical expressions or long and complex numeric calculations with a neural network model. Experimental results in the literature are used as the training data for the network by using Gradient Descent with Adaptive Learning Rate Back Propagation learning algorithm. The resonant frequency, dielectric constant of the substrate and the dielectric substrate thickness values are the inputs of the neural network and the patch length, patch width, the lengths and widths of the vertical and horizontal slots are the network outputs. The test output data of the network are used for simulations and the results are confirmed by these simulations. S-11 responses, simulation frequency, impedance bandwidth, directivity, gain and radiation efficiency values of the antennas are investigated by HFSS. Simulation results are compatible with test outputs. The high training success of the network and R-2 values very close to 1 show that physical patch parameters of U-slot rectangular microstrip antennas can be calculated with this Artificial Neural Network model with high accuracy.en_US
dc.description.sponsorshipTelekom Malaysia, Telekom Malaysia Res & Dev, Motorola Solut, Malaysia Convent & Exhibit Buren_US
dc.description.sponsorshipScientific Research Project Office of Selcuk Universityen_US
dc.description.sponsorshipThis study is supported by Scientific Research Project Office of Selcuk University.en_US
dc.identifier.endpage553en_US
dc.identifier.isbn978-1-934142-20-2
dc.identifier.issn1559-9450en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage549en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28022
dc.identifier.wosWOS:000327380000112en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELECTROMAGNETICS ACADen_US
dc.relation.ispartofPROCEEDINGS OF PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS 2012)en_US
dc.relation.ispartofseriesProgress in Electromagnetics Research Symposium
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleEstimation and Design of U-slot Physical Patch Parameters with Artificial Neural Networksen_US
dc.typeConference Objecten_US

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