MLP and KNN algorithm model applications for determining the operating frequency of a-shaped patch antennas

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dc.authorid0000-0002-9756-8756en_US
dc.contributor.authorKayabaşı, Ahmet
dc.date.accessioned2019-12-06T18:54:15Z
dc.date.available2019-12-06T18:54:15Z
dc.date.issued2017
dc.departmentKMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this study, two machine learning methods, namely multilayer perceptron (MLP) and K-nearest neighbours (KNN) algorithm models are used for determining the operating frequency of A-shaped patch antennas (APAs) at UHF band applications. Firstly, data set is obtained from the 144 antenna simulations using the method of moment (MoM) technique with the aid of the HyperLynx® 3D EM electromagnetic simulator.Weka (Waikato Environment for Knowledge Analysis) program was then used to build models by considering 144 simulation data. The models input with the parameters of 124 APAs are trained and their accuracies are tested via 20 APAs. The mean absolute error (MAE) values are calculated for different number of hidden layer neurons and different neighborhood values in MLP and KNN models, respectively. The performance of the MLP and KNN models are compared in the training and testing process. The lowest MAEs are obtained with 6 hidden layer neurons for MLP and 2 neighborhood values for KNN. These results point out that this models can be successfully applied to computation operating frequencies of APAsen_US
dc.identifier.citationKayabaşı, A. (2017). MLP and KNN algorithm model applications for determining the operating frequency of a-shaped patch antennas. International Journal of Intelligent Systems and Applications in Engineering, 3, 5, 154-157.
dc.identifier.endpage67157en_US
dc.identifier.issn2147-6799
dc.identifier.issue3en_US
dc.identifier.startpage67154en_US
dc.identifier.trdizinid273297
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TWpjek1qazNOdz09
dc.identifier.urihttps://hdl.handle.net/11492/1820
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorKayabaşı, Ahmet
dc.language.isoen
dc.relation.journalInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.subjectA-Shaped Patch Antennaen_US
dc.subjectOperating Frequencyen_US
dc.subjectMultilayer Perceptronen_US
dc.subjectK-Nearest Neighbours Algorithmen_US
dc.titleMLP and KNN algorithm model applications for determining the operating frequency of a-shaped patch antennasen_US
dc.typeArticle

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