Optimization of Filter by using Support Vector Regression Machine with Cuckoo Search Algorithm

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dc.contributor.authorIlarslan, Mustafa
dc.contributor.authorDemirel, Salih
dc.contributor.authorTorpi, Hamid
dc.contributor.authorKeskin, A. Kenan
dc.contributor.authorCaglar, M. Fatih
dc.coverage.issue3cs
dc.coverage.volume23cs
dc.date.accessioned2014-12-11T12:09:57Z
dc.date.available2014-12-11T12:09:57Z
dc.date.issued2014-09cs
dc.description.abstractHerein, a new methodology using a 3D Electromagnetic (EM) simulator-based Support Vector Regression Machine (SVRM) models of base elements is presented for band-pass filter (BPF) design. SVRM models of elements, which are as fast as analytical equations and as accurate as a 3D EM simulator, are employed in a simple and efficient Cuckoo Search Algorithm (CSA) to optimize an ultra-wideband (UWB) microstrip BPF. CSA performance is verified by comparing it with other Meta-Heuristics such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). As an example of the proposed design methodology, an UWB BPF that operates between the frequencies of 3.1 GHz and 10.6 GHz is designed, fabricated and measured. The simulation and measurement results indicate in conclusion the superior performance of this optimization methodology in terms of improved filter response characteristics like return loss, insertion loss, harmonic suppression and group delay.en
dc.formattextcs
dc.format.extent790-797cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2014, vol. 23, č. 3, s. 790-797. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36480
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2014/14_03_0790_0797.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectCuckoo Search Algorithmen
dc.subjectoptimizationen
dc.subjectultra-widebanden
dc.subjectband-pass filteren
dc.subjectSupport Vector Regression Machine (SVRM)en
dc.titleOptimization of Filter by using Support Vector Regression Machine with Cuckoo Search Algorithmen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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