Optimal design of double folded stub microstrip filter by neural network modelling and particle swarm optimization
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
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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Journal of Microwaves. Optoelectronics and Electromagnetic Applications |
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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 |
_version_ |
1752122125409320960 |