Matches in SemOpenAlex for { <https://semopenalex.org/work/W2944936161> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2944936161 endingPage "2173" @default.
- W2944936161 startingPage "2169" @default.
- W2944936161 abstract "Abstract A novel tuning process of microwave filter is proposed based on deep neural network. Convolutional neural networks (CNNs) with several layers of convolution and nonlinear units are introduced to extract the coupling matrix of the simulated responses during the design procedure of lossy microwave filters. Then the proposed neural network model has been used to guide the tuning process of substrate integrated waveguide (SIW) filters. Compared to the traditional tuning method, this method can extract the coupling matrix with high accuracy as well as providing directions for the tuning rapidly. As an example, a fourth‐order bandpass filter centered at 20.45 GHz with 1.72‐dB insertion loss and 21.49‐dB return loss is finally designed using the proposed model. Numerical example validates the effectiveness of the proposed method." @default.
- W2944936161 created "2019-05-29" @default.
- W2944936161 creator A5014120811 @default.
- W2944936161 creator A5033546667 @default.
- W2944936161 creator A5034749314 @default.
- W2944936161 creator A5068408755 @default.
- W2944936161 creator A5077976811 @default.
- W2944936161 date "2019-05-13" @default.
- W2944936161 modified "2023-10-16" @default.
- W2944936161 title "A deep neural network based tuning technique of lossy microwave coupled resonator filters" @default.
- W2944936161 cites W1964346591 @default.
- W2944936161 cites W2112796928 @default.
- W2944936161 cites W2128670444 @default.
- W2944936161 cites W2131999886 @default.
- W2944936161 cites W2159073174 @default.
- W2944936161 cites W2775024044 @default.
- W2944936161 doi "https://doi.org/10.1002/mop.31866" @default.
- W2944936161 hasPublicationYear "2019" @default.
- W2944936161 type Work @default.
- W2944936161 sameAs 2944936161 @default.
- W2944936161 citedByCount "5" @default.
- W2944936161 countsByYear W29449361612020 @default.
- W2944936161 countsByYear W29449361612021 @default.
- W2944936161 countsByYear W29449361612022 @default.
- W2944936161 crossrefType "journal-article" @default.
- W2944936161 hasAuthorship W2944936161A5014120811 @default.
- W2944936161 hasAuthorship W2944936161A5033546667 @default.
- W2944936161 hasAuthorship W2944936161A5034749314 @default.
- W2944936161 hasAuthorship W2944936161A5068408755 @default.
- W2944936161 hasAuthorship W2944936161A5077976811 @default.
- W2944936161 hasConcept C106131492 @default.
- W2944936161 hasConcept C127413603 @default.
- W2944936161 hasConcept C131584629 @default.
- W2944936161 hasConcept C147788027 @default.
- W2944936161 hasConcept C150935588 @default.
- W2944936161 hasConcept C154945302 @default.
- W2944936161 hasConcept C165021410 @default.
- W2944936161 hasConcept C175742284 @default.
- W2944936161 hasConcept C191897082 @default.
- W2944936161 hasConcept C192562407 @default.
- W2944936161 hasConcept C196901423 @default.
- W2944936161 hasConcept C21822782 @default.
- W2944936161 hasConcept C22597639 @default.
- W2944936161 hasConcept C24326235 @default.
- W2944936161 hasConcept C31972630 @default.
- W2944936161 hasConcept C41008148 @default.
- W2944936161 hasConcept C44838205 @default.
- W2944936161 hasConcept C45347329 @default.
- W2944936161 hasConcept C49040817 @default.
- W2944936161 hasConcept C50644808 @default.
- W2944936161 hasConcept C76155785 @default.
- W2944936161 hasConcept C90327742 @default.
- W2944936161 hasConcept C97126364 @default.
- W2944936161 hasConceptScore W2944936161C106131492 @default.
- W2944936161 hasConceptScore W2944936161C127413603 @default.
- W2944936161 hasConceptScore W2944936161C131584629 @default.
- W2944936161 hasConceptScore W2944936161C147788027 @default.
- W2944936161 hasConceptScore W2944936161C150935588 @default.
- W2944936161 hasConceptScore W2944936161C154945302 @default.
- W2944936161 hasConceptScore W2944936161C165021410 @default.
- W2944936161 hasConceptScore W2944936161C175742284 @default.
- W2944936161 hasConceptScore W2944936161C191897082 @default.
- W2944936161 hasConceptScore W2944936161C192562407 @default.
- W2944936161 hasConceptScore W2944936161C196901423 @default.
- W2944936161 hasConceptScore W2944936161C21822782 @default.
- W2944936161 hasConceptScore W2944936161C22597639 @default.
- W2944936161 hasConceptScore W2944936161C24326235 @default.
- W2944936161 hasConceptScore W2944936161C31972630 @default.
- W2944936161 hasConceptScore W2944936161C41008148 @default.
- W2944936161 hasConceptScore W2944936161C44838205 @default.
- W2944936161 hasConceptScore W2944936161C45347329 @default.
- W2944936161 hasConceptScore W2944936161C49040817 @default.
- W2944936161 hasConceptScore W2944936161C50644808 @default.
- W2944936161 hasConceptScore W2944936161C76155785 @default.
- W2944936161 hasConceptScore W2944936161C90327742 @default.
- W2944936161 hasConceptScore W2944936161C97126364 @default.
- W2944936161 hasFunder F4320321001 @default.
- W2944936161 hasIssue "9" @default.
- W2944936161 hasLocation W29449361611 @default.
- W2944936161 hasOpenAccess W2944936161 @default.
- W2944936161 hasPrimaryLocation W29449361611 @default.
- W2944936161 hasRelatedWork W1877169477 @default.
- W2944936161 hasRelatedWork W1987243148 @default.
- W2944936161 hasRelatedWork W2111095398 @default.
- W2944936161 hasRelatedWork W2150499750 @default.
- W2944936161 hasRelatedWork W2589840285 @default.
- W2944936161 hasRelatedWork W2905130342 @default.
- W2944936161 hasRelatedWork W3198301580 @default.
- W2944936161 hasRelatedWork W3208847716 @default.
- W2944936161 hasRelatedWork W4210388517 @default.
- W2944936161 hasRelatedWork W4226229663 @default.
- W2944936161 hasVolume "61" @default.
- W2944936161 isParatext "false" @default.
- W2944936161 isRetracted "false" @default.
- W2944936161 magId "2944936161" @default.
- W2944936161 workType "article" @default.