FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289261278> ?p ?o ?g. }

• W4289261278 endingPage "2421" @default.
• W4289261278 startingPage "2421" @default.
• W4289261278 abstract "Neural networks (NNs), random forests (RF), and extreme gradient boosting (XGBoost) are applied separately to inversely design the ring-core few-mode fiber (FMF) with a desired weakly coupled performance. We demonstrate the procedure of inverse designing of FMF via machine learning (ML) algorithms and evaluate the prediction accuracy of the above ML algorithms. Compared with RF and XGBoost, the NN performs the highest prediction accuracy. For the NN, RF, and XGBoost, the correlation coefficients of the mode effective index difference are 0.99993, 0.99857, and 0.99937, respectively. Subsequently, by utilizing the method of permuting feature importance ranking, we obtain the high-correlation fiber structural features with the mode effective index difference. Moreover, we analyze the effect of the minimum index difference between two adjacent modes <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mo stretchy=false>(</mml:mo> <mml:mi mathvariant=normal>Δ<!-- Δ --></mml:mi> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mi>n</mml:mi> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>e</mml:mi> <mml:mi mathvariant=normal>f</mml:mi> <mml:mi mathvariant=normal>f</mml:mi> <mml:mo>,</mml:mo> <mml:mi mathvariant=normal>m</mml:mi> <mml:mi mathvariant=normal>i</mml:mi> <mml:mi mathvariant=normal>n</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> <mml:mo stretchy=false>)</mml:mo> </mml:math> on the structural parameters and get consistent feature attribution via permuting feature importance ranking above. Finally, we design a weakly coupled ring-core fiber that supports four modes ( <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>H</mml:mi> <mml:mi mathvariant=normal>E</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mn>11</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> , <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>T</mml:mi> <mml:mi mathvariant=normal>E</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mn>01</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> , <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>H</mml:mi> <mml:mi mathvariant=normal>E</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mn>21</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> , <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline> <mml:mrow class=MJX-TeXAtom-ORD> <mml:msub> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mi mathvariant=normal>T</mml:mi> <mml:mi mathvariant=normal>M</mml:mi> </mml:mrow> <mml:mrow class=MJX-TeXAtom-ORD> <mml:mn>01</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ) based on the NN algorithm, which could be successfully applied in vector mode division multiplexing." @default.
• W4289261278 created "2022-08-01" @default.
• W4289261278 creator A5011967791 @default.
• W4289261278 creator A5036087177 @default.
• W4289261278 creator A5055774883 @default.
• W4289261278 creator A5056796469 @default.
• W4289261278 creator A5057645490 @default.
• W4289261278 creator A5085959806 @default.
• W4289261278 date "2022-08-15" @default.
• W4289261278 modified "2023-10-17" @default.
• W4289261278 title "Few-mode fiber design for multiple-input-multiple-output-less mode division multiplexing by machine learning" @default.
• W4289261278 cites W1977048508 @default.
• W4289261278 cites W2017335832 @default.
• W4289261278 cites W2043588804 @default.
• W4289261278 cites W2053115426 @default.
• W4289261278 cites W2294173850 @default.
• W4289261278 cites W2343068301 @default.
• W4289261278 cites W2473541008 @default.
• W4289261278 cites W2488184994 @default.
• W4289261278 cites W2581283831 @default.
• W4289261278 cites W2789577323 @default.
• W4289261278 cites W2794232330 @default.
• W4289261278 cites W2898053012 @default.
• W4289261278 cites W2948914076 @default.
• W4289261278 cites W2950859975 @default.
• W4289261278 cites W2965467101 @default.
• W4289261278 cites W2996526541 @default.
• W4289261278 cites W3038551776 @default.
• W4289261278 cites W3102476541 @default.
• W4289261278 cites W3112090462 @default.
• W4289261278 cites W3130231172 @default.
• W4289261278 cites W3160618654 @default.
• W4289261278 cites W3195440981 @default.
• W4289261278 cites W3197292023 @default.
• W4289261278 cites W3197585773 @default.
• W4289261278 cites W3204693668 @default.
• W4289261278 cites W4225421425 @default.
• W4289261278 cites W4226062548 @default.
• W4289261278 doi "https://doi.org/10.1364/josab.462459" @default.
• W4289261278 hasPublicationYear "2022" @default.
• W4289261278 type Work @default.
• W4289261278 citedByCount "2" @default.
• W4289261278 countsByYear W42892612782022 @default.
• W4289261278 crossrefType "journal-article" @default.
• W4289261278 hasAuthorship W4289261278A5011967791 @default.
• W4289261278 hasAuthorship W4289261278A5036087177 @default.
• W4289261278 hasAuthorship W4289261278A5055774883 @default.
• W4289261278 hasAuthorship W4289261278A5056796469 @default.
• W4289261278 hasAuthorship W4289261278A5057645490 @default.
• W4289261278 hasAuthorship W4289261278A5085959806 @default.
• W4289261278 hasConcept C11413529 @default.
• W4289261278 hasConcept C119857082 @default.
• W4289261278 hasConcept C154945302 @default.
• W4289261278 hasConcept C41008148 @default.
• W4289261278 hasConceptScore W4289261278C11413529 @default.
• W4289261278 hasConceptScore W4289261278C119857082 @default.
• W4289261278 hasConceptScore W4289261278C154945302 @default.
• W4289261278 hasConceptScore W4289261278C41008148 @default.
• W4289261278 hasFunder F4320321001 @default.
• W4289261278 hasFunder F4320335777 @default.
• W4289261278 hasIssue "9" @default.
• W4289261278 hasLocation W42892612781 @default.
• W4289261278 hasOpenAccess W4289261278 @default.
• W4289261278 hasPrimaryLocation W42892612781 @default.
• W4289261278 hasRelatedWork W2961085424 @default.
• W4289261278 hasRelatedWork W3046775127 @default.
• W4289261278 hasRelatedWork W3170094116 @default.
• W4289261278 hasRelatedWork W4205958290 @default.
• W4289261278 hasRelatedWork W4285260836 @default.
• W4289261278 hasRelatedWork W4286629047 @default.
• W4289261278 hasRelatedWork W4306321456 @default.
• W4289261278 hasRelatedWork W4306674287 @default.
• W4289261278 hasRelatedWork W4386462264 @default.
• W4289261278 hasRelatedWork W4224009465 @default.
• W4289261278 hasVolume "39" @default.
• W4289261278 isParatext "false" @default.
• W4289261278 isRetracted "false" @default.
• W4289261278 workType "article" @default.