%0 Journal Article
%T Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
%A Banookh
%A Amir
%A Barakati
%A S. Masoud
%J Journal of Microwaves, Optoelectronics and Electromagnetic Applications
%D 2012
%I Brazilian Microwave and Optoelectronics Society and Brazilian Society of Electromagnetism
%R 10.1590/S2179-10742012000100017
%X optimization of design parameters based on electromagnetic simulation of microwave circuits is a timeconsuming and iterative procedure. to provide a fast and accurate frequency response for a given case study, this paper employs a neural network modelling approach. first, one of the case study's outputs, i.e., scattering parameter (|s21|) in db, is predicted using a neural network model. then the particle swarm optimization is employed to optimize the design parameters. the proposed method in designing the filter compares with two others methods for a case study. the simulation results show the capability of the proposed method in designing an optimized filter in a proper time.
%K neural networks
%K microwave structures
%K particle swarm optimization
%K modelling.
%U http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2179-10742012000100017&lng=en&nrm=iso&tlng=en