Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization

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.