Parametric Modeling of Microwave Structure with Customization Responses by Combining RBF Neural Network and Pole-Residue-Based Transfer Functions

Simple item page
dc.contributor.authorMa, Yuhong
dc.contributor.authorWu, Shuang
dc.contributor.authorYuan, Ye
dc.contributor.authorYuan, Naichang
dc.coverage.issue2cs
dc.coverage.volume31cs
dc.date.accessioned2022-05-17T06:03:40Z
dc.date.available2022-05-17T06:03:40Z
dc.date.issued2022-05cs
dc.description.abstractThis paper proposed a parametric modeling technique for the microwave structures with a customization magnitude response by combining the RBF neural network and pole-residue-based transfer functions. The Latin hypercube sampling method is used for sampling given physical ranges and obtaining the EM behaviors of the microwave structures. A pole sorting process and a modified pole-residues splitting process are proposed to solve the pole sequence chaos and order-changing problems which occur in the modeling process. The pole-residues parameters after the above preprocessing steps are used as the inputs of the RBF neural network and the physical parameters are used as the outputs of RBF network. Then, the known magnitude response of the microwave structure are used as the prior knowledge to guide obtaining the goal pole-residues values corresponding to the giving magnitude response specification. After the training process of the RBF model, the goal pole-residues are input into the trained RBF network and the goal physical parameters corresponding to the customization responses is obtained. Finally, this model technique is illustrated by the two examples of microwave structures.en
dc.formattextcs
dc.format.extent185-192cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2022 vol. 31, č. 2, s. 185-192. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2022.0185en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/204274
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2022/22_02_0185_0192.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectParametric modelingen
dc.subjectcustomization responseen
dc.subjectRBF neural networken
dc.subjectpole-residue-based transfer functionsen
dc.titleParametric Modeling of Microwave Structure with Customization Responses by Combining RBF Neural Network and Pole-Residue-Based Transfer Functionsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
22_02_0185_0192.pdf
Size:
2.04 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
2022/2