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

Detalhes bibliográficos
Autor(a) principal: Banookh,Amir
Data de Publicação: 2012
Outros Autores: Barakati,S. Masoud
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Microwaves. Optoelectronics and Electromagnetic Applications
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742012000100017
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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spelling Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimizationneural networksMicrowave structuresparticle swarm optimizationmodellingOptimization 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.Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742012000100017Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.11 n.1 2012reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applicationsinstname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)instacron:SBMO10.1590/S2179-10742012000100017info:eu-repo/semantics/openAccessBanookh,AmirBarakati,S. Masoudeng2012-07-16T00:00:00Zoai:scielo:S2179-10742012000100017Revistahttp://www.jmoe.org/index.php/jmoe/indexONGhttps://old.scielo.br/oai/scielo-oai.php||editor_jmoe@sbmo.org.br2179-10742179-1074opendoar:2012-07-16T00:00Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)false
dc.title.none.fl_str_mv Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
title Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
spellingShingle Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
Banookh,Amir
neural networks
Microwave structures
particle swarm optimization
modelling
title_short Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
title_full Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
title_fullStr Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
title_full_unstemmed Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
title_sort Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
author Banookh,Amir
author_facet Banookh,Amir
Barakati,S. Masoud
author_role author
author2 Barakati,S. Masoud
author2_role author
dc.contributor.author.fl_str_mv Banookh,Amir
Barakati,S. Masoud
dc.subject.por.fl_str_mv neural networks
Microwave structures
particle swarm optimization
modelling
topic neural networks
Microwave structures
particle swarm optimization
modelling
description 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.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742012000100017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742012000100017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S2179-10742012000100017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
dc.source.none.fl_str_mv Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.11 n.1 2012
reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applications
instname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
instacron:SBMO
instname_str Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
instacron_str SBMO
institution SBMO
reponame_str Journal of Microwaves. Optoelectronics and Electromagnetic Applications
collection Journal of Microwaves. Optoelectronics and Electromagnetic Applications
repository.name.fl_str_mv Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
repository.mail.fl_str_mv ||editor_jmoe@sbmo.org.br
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