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

Journal of Microwaves, Optoelectronics and Electromagnetic Applications

S. Masoud Barakati¹  Amir Banookh¹ 

[1] The University of Sistan and Baluchestan;

关键词: neural networks;    Microwave structures;    particle swarm optimization;    modelling;   

DOI  :  10.1590/S2179-10742012000100017

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown