Title :
Modeling of patch antennas using neural networks
Author :
B. Milovanovic;M. Milijic;A. Atanaskovic;Z. Stankovic
Author_Institution :
Fac. of Electron. Eng., Aleksandra Medvedeva, Nis, Serbia
fDate :
6/27/1905 12:00:00 AM
Abstract :
In this paper patch antennas are modeled using neural model based on multi-layer perceptrons (MLP) network. Neural model is trained by data, which are obtained by electromagnetic simulation of antennas using HFSS 9.0 software. This model has four input parameters: patch antenna length L, patch antenna width W, deep of patch antenna slot l and width of patch antenna slot s and it enables quick and correct calculation of resonant frequency f/sub r/ and minimum value of S/sub 11/ parameter (S/sub 11min/).
Keywords :
"Patch antennas","Neural networks","Biological neural networks","Neurons","Resonant frequency","Dielectric substrates","Slot antennas","Antenna feeds","Electromagnetic modeling","Bandwidth"
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2005. 7th International Conference on
Print_ISBN :
0-7803-9164-0
DOI :
10.1109/TELSKS.2005.1572133
