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Article Citation - WoS: 1Citation - Scopus: 3Calculation of Resonant Frequencies of a Shorting Pin-Loaded Etma With Ann(Wiley-blackwell, 2014) Can, Sultan; Kapusuz, Kamil Yavuz; Aydin, Elif[No Abstract Available]Article Citation - WoS: 4Citation - Scopus: 5Neural Network Based Resonant Frequency Solver for Rectangular-Shaped Shorting Pin-Loaded Antennas(Wiley, 2013) Can, Sultan; Kapusuz, Kamil Yavuz; Aydin, ElifThis study presents an artificial neural network (ANN) estimation of the operating frequencies of shorting pin-loaded rectangular microstrip patch antennas. A feed forward back propagation multilayer perceptron neural network structure is applied in the study. The results are compared with the ones in the literature and the FEM based simulation results. The results of the operating frequencies obtained by using this method are in very good agreement with the experimental results presented in the literature. Several antennas are also simulated by a finite element method based solver and these results are also compared with the results of the proposed neural network model. The average error of the lower frequency obtained by this study has a decrement of 2.025% when compared to the FEM based simulation software and for the upper frequency this difference is 6.835%. The effects of permittivity of the antenna, size of the dimensions of the rectangular patch, and the shorting pin position are also evaluated. In the light of the ANN model and the relations obtained two antennas in the same shape are produced and the results of these antennas are presented as well. (c) 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:3025-3028, 2013Article Citation - WoS: 9Citation - Scopus: 9Operating Frequency Calculation of a Shorting Pin-Loaded Etma(Wiley-blackwell, 2012) Aydin, Elif; Can, SultanThis article presents the calculation of upper and lower operating frequencies with the expressions of effective side length, effective permittivity, and correction factor to develop accurate lower and upper operating frequencies of a single feed, a shorting pin-loaded equilateral triangular patch, that is, analyzed through a cavity model. To insert permittivity and shorting pin position effects correction factor expressions are determined empirically for both upper and lower frequencies. The various positions of the shorting pin, substrate thickness and side length properties are considered by calculating both upper and lower frequencies. The results from this study are compared with research in the literature comprising results from both experimental and transmission line models. (C) 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:14321435, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26838Article Citation - WoS: 1Citation - Scopus: 1Neural Network Based Estimation of Resonant Frequency of an Equilateral Triangular Microstrip Patch Antenna(Univ Osijek, Tech Fac, 2013) Kapusuz, Kamil Yavuz; Tora, Hakan; Can, Sultan; Airframe and Powerplant Maintenance; Department of Electrical & Electronics EngineeringThis study proposes an artificial neural network (ANN) model in order to approximate the resonant frequencies of equilateral triangular patch antennas. The neural network structure applied here is trained and tested for both single-layer and double-layer antennas. It is shown upon experiment that the resonant frequencies obtained from the neural network are both more accurate than the calculated frequencies by formula and satisfactorily close to the measured frequencies. Results appear to be promising as per the available literature. This paper also may offer more efficient approach to developing antennas of such nature. While the total absolute error of 7 MHz and the average error of 0,09 % are achieved for single-layer antenna, the total absolute and average errors are 49 MHz and 0,07 % for the double-layered antenna, respectively.
