In this study, slot length and slot width physical parameters that calculated theoretically before on U-slot rectangular microstrip antennas are calculated with two different ‘artificial neural network’ models then using experimental slot parameters in the literature. The aim of the first model is presenting an approach for calculation of U-slot physical parameters obtained theoretically, with ‘artificial neural networks’. The second model shows that experimental U-slot physical parameters can be calculated by the help of ‘artificial neural networks’. The results from the second model are compared with experimental results in the literature and it was seen that they are compatible.
Key words: U-slot rectangular microstrip patch antenna, slot length, slot width, artificial neural networks.
ANN, artificial neural network; L, microstrip antenna patch length;W, microstrip antenna patch width; h, dielectric substrate thickness; , dielectric constant; , effective dielectric constant; , resonant frequency; , low cut off frequency; , high cut off frequency;
C, U-slot length; D, U-slot width; E, horizontal slot width; F, slot width; H, slot distance to the patch edge; VSWR, voltage standing wave ratio; , velocity of light in free space; C1, C2, the location of the slot on the patch; , effective patch length; , scattering length; MLP, multilayer perceptron; LM, Levenberg-Marquardt; J, Jacobian matrix; e, the network error vector; T, the matrix transpose;R2, correlation coefficient; AWS, advanced wireless services; GSM, global system for mobile communications; WiMAX, worldwide interoperability for microwave access; WLAN, wireless local area network.
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