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

AUTOR(ES)

Banookh, Amir, Barakati, S. Masoud

FONTE

Journal of Microwaves, Optoelectronics and Electromagnetic Applications

DATA DE PUBLICAÇÃO

2012-06

RESUMO

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.

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