Design and Feed Position Estimation for Circular Microstrip Antenna Based on Neural Network Model (CROSBI ID 586185)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vilović, Ivan ; Burum, Nikša
engleski
Design and Feed Position Estimation for Circular Microstrip Antenna Based on Neural Network Model
In this paper a design and feed position determination for circular microstrip antenna based on neural network models are presented. Multilayer perceptron (MLP) is developed for antenna design. The physical and effective radius, as well as, directivity is obtained by MLP neural network. Radial basis function (RBF) neural network is used for feed position estimation. The obtained results are showed good matching with experimentally obtained results.
neural network; circular microstrip antenna; phyisical radius; effective radius; feed position; input impedance
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Podaci o prilogu
2012.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
EuCAP 2012: 6th European Conference on Antennas and Propagation (EUCAP)
predavanje
26.03.2012-30.03.2012
Prag, Češka Republika