DESIGN OF SIERPINSKI GASKET FRACTAL PATCH ANTENNA USING ARTIFICIAL NEURAL NETWORKS

摘要

An Artificial Neural Network (ANN) based approach for calculating the resonant frequency of a Sierpinski Gasket Fractal Patch Antenna is presented in this paper. The back propagation algorithm is used to train the network. The network model helps in getting the frequency at the output for input parameters like dielectric constant, thickness of the substrate, side length of the base triangle and the number of iterations. A model for computing the side length of the base triangle when the frequency and other parameters are known is also described. The results obtained by using this ANN approach are in agreement with the theoretical and measured results reported in literature.