Development of Knowledge Based Response Correction for a Reconfigurable N-Shaped Microstrip Antenna Design

dc.contributor.author Aoad, Ashrf
dc.contributor.author Simsek, Murat
dc.contributor.author Aydin, Zafer
dc.date.accessioned 2025-09-25T10:44:40Z
dc.date.available 2025-09-25T10:44:40Z
dc.date.issued 2015
dc.description.abstract This study presents the use of prior knowledge of inverse artificial neural network (ANN) to model and optimize a reconfigurable N-shaped microstrip antenna. Three accurate prior knowledge inverse ANNs with large amount training data are proposed where the frequency information is incorporated into the structure of ANN. The complexity of the input/output relationship is reduced by using prior knowledge. Three separate methods of incorporating knowledge in the second step of the training process with a multilayer perceptron (MLP) in the first step are demonstrated and their results are compared to EM simulation. © 2023 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1109/NEMO.2015.7415078
dc.identifier.isbn 9781479968114
dc.identifier.scopus 2-s2.0-84963975957
dc.identifier.uri https://doi.org/10.1109/NEMO.2015.7415078
dc.identifier.uri https://hdl.handle.net/20.500.12573/3619
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof -- IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015 -- Ottawa; ON -- 119572 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Artificial Neural Networks en_US
dc.subject Prior Knowledge Input en_US
dc.subject Reconfigurable Microstrip Antenna en_US
dc.subject Inverse Problems en_US
dc.subject Knowledge Based Systems en_US
dc.subject Microstrip Antennas en_US
dc.subject Antenna Design en_US
dc.subject Frequency Information en_US
dc.subject Knowledge Based en_US
dc.subject Large Amounts en_US
dc.subject Prior Knowledge Input en_US
dc.subject Prior-Knowledge en_US
dc.subject Reconfigurable en_US
dc.subject Reconfigurable Microstrip Antenna en_US
dc.subject Response Corrections en_US
dc.subject Training Data en_US
dc.subject Neural Networks en_US
dc.title Development of Knowledge Based Response Correction for a Reconfigurable N-Shaped Microstrip Antenna Design en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.scopusid 54392589900
gdc.author.scopusid 23398593800
gdc.author.scopusid 7003852510
gdc.author.wosid Aoad, Ashrf/Aal-1460-2021
gdc.author.wosid Simsek, Murat/Adi-7253-2022
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Aoad] Ashrf, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Astronautical Engineering, İstanbul Teknik Üniversitesi, Istanbul, Turkey, Department of Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Simsek] Murat, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Astronautical Engineering, İstanbul Teknik Üniversitesi, Istanbul, Turkey, Department of Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Aydin] Zafer, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Astronautical Engineering, İstanbul Teknik Üniversitesi, Istanbul, Turkey, Department of Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey en_US
gdc.description.endpage 3
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.openalex W2292457846
gdc.identifier.wos WOS:000380464100088
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.8980172E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 3.1894176E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 3.2432
gdc.openalex.normalizedpercentile 0.92
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 5
gdc.plumx.mendeley 4
gdc.plumx.scopuscites 5
gdc.scopus.citedcount 5
gdc.virtual.author Aydın, Zafer
gdc.wos.citedcount 0
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