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dc.contributor.authorOzkaya, Umut
dc.contributor.authorYigit, Enes
dc.contributor.authorSeyfi, Levent
dc.contributor.authorOzturk, Saban
dc.contributor.authorSingh, Dilbag
dc.date.accessioned2024-03-12T19:29:54Z
dc.date.available2024-03-12T19:29:54Z
dc.date.issued2021
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.urihttps://doi.org/10.1155/2021/6903925
dc.identifier.urihttps://hdl.handle.net/20.500.12450/2434
dc.description.abstractThis study provides a comparative analysis of regression techniques to estimate the operating frequency of the C-like microstrip antenna. The performance of well-known regression techniques such as linear regression (LR), regression tree (RT), support vector regression (SVR), Gaussian regression (GR), and artificial neural network (ANN) is tested. For this purpose, 160 C-like microstrip antennas are simulated, of which 145 are used for training of regression techniques and 15 for testing. From the evaluated results, it is found that the pure quadratic Gaussian regression (PQGR) technique has the lowest error rates with 0.0109 mean absolute error (MAE), 0.0087 median error (ME), 0.0002 mean squared error (MSE), 0.0156 root mean squared error (RMSE), and 0.5981 average percentage error (APE). As can be seen in the comparative analysis, the PQGR method outperforms other regression methods on simulation and measurement data. Experimental analysis shows that the resonant frequency of the C-like patch antennas can be calculated very close to measurements.en_US
dc.language.isoengen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofMathematical Problems In Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleComparative Regression Analysis for Estimating Resonant Frequency of C-Like Patch Antennasen_US
dc.typearticleen_US
dc.departmentAmasya Üniversitesien_US
dc.authoridÖztürk, Şaban/0000-0003-2371-8173
dc.authoridSingh, Dilbag/0000-0001-6475-4491
dc.authoridyigit, Enes/0000-0002-0960-5335
dc.identifier.volume2021en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85101569396en_US
dc.identifier.doi10.1155/2021/6903925
dc.department-temp[Ozkaya, Umut; Seyfi, Levent] Konya Tech Univ, Dept Elect & Elect Engn, Konya, Turkey; [Yigit, Enes] Karamano glu Mehmetbey Univ, Dept Elect & Elect Engn, Karaman, Turkey; [Ozturk, Saban] Amasya Univ, Dept Elect & Elect Engn, Amasya, Turkey; [Singh, Dilbag] Bennett Univ, Sch Engn & Appl Sci, Comp Sci Engn, Greater Noida 201310, Indiaen_US
dc.identifier.wosWOS:000621819600002en_US
dc.authorwosidÖztürk, Şaban/ABI-3936-2020
dc.authorwosidSingh, Dilbag/AAQ-6339-2020


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