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

Amir Banookh et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo

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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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APA 7

al, A. B. E. (s. f.). Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization. https://doi.org/10.1590/S2179-10742012000100017

MLA

al, Amir Banookh et. "Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization.". https://doi.org/10.1590/S2179-10742012000100017.

Chicago

al, Amir Banookh et. s. f. "Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization.". https://doi.org/10.1590/S2179-10742012000100017.

Harvard

al, A. B. E. s. f, Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization, Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo, available at: https://doi.org/10.1590/S2179-10742012000100017 [Accessed 8 Aug. 2026].

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Title
Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
Author / contributors
Amir Banookh et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
ISSN
2179-1074
ISSN
2179-1074
Language
English

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