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

Artículo

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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Autore / responsabile

Amir Banookh et al

Editore

Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo

ISSN

2179-1074

ISSN

2179-1074

Lingua

Inglés

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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 7 Aug. 2026].

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

Autore / collaboratori: Amir Banookh et al

Editore: Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo

ISSN: 2179-1074

ISSN: 2179-1074

Lingua: Inglés

Soggetti

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neural networks; Microwave structures; particle swarm optimization; modelling