FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790032124> ?p ?o ?g. }

• W2790032124 endingPage "181" @default.
• W2790032124 startingPage "169" @default.
• W2790032124 abstract "This paper focuses on the problem of strictly (Q,S,R)-γ-dissipativity analysis for neural networks with two-delay components. Based on the dynamic delay interval method, a Lyapunov–Krasovskii functional is constructed. By solving its self-positive definite and derivative negative definite conditions via an extended reciprocally convex matrix inequality, several new sufficient conditions that guarantee the neural networks strictly (Q,S,R)-γ-dissipative are derived. Furthermore, the dissipativity analysis of neural networks with two-delay components is extended to the stability analysis. Finally, two numerical examples are employed to illustrate the advantages of the proposed method." @default.
• W2790032124 created "2018-03-29" @default.
• W2790032124 creator A5042193453 @default.
• W2790032124 creator A5044961020 @default.
• W2790032124 creator A5059525096 @default.
• W2790032124 creator A5074710425 @default.
• W2790032124 creator A5078547624 @default.
• W2790032124 date "2018-06-01" @default.
• W2790032124 modified "2023-10-13" @default.
• W2790032124 title "Dissipativity analysis for neural networks with two-delay components using an extended reciprocally convex matrix inequality" @default.
• W2790032124 cites W1164476955 @default.
• W2790032124 cites W1965632565 @default.
• W2790032124 cites W1974434340 @default.
• W2790032124 cites W1995341919 @default.
• W2790032124 cites W2011073350 @default.
• W2790032124 cites W2016562720 @default.
• W2790032124 cites W2020298866 @default.
• W2790032124 cites W2031673504 @default.
• W2790032124 cites W2037686415 @default.
• W2790032124 cites W2039617089 @default.
• W2790032124 cites W2042024731 @default.
• W2790032124 cites W2044467507 @default.
• W2790032124 cites W2053832595 @default.
• W2790032124 cites W2065454203 @default.
• W2790032124 cites W2088656430 @default.
• W2790032124 cites W2095477585 @default.
• W2790032124 cites W2108486557 @default.
• W2790032124 cites W2110460555 @default.
• W2790032124 cites W2126341830 @default.
• W2790032124 cites W2141161741 @default.
• W2790032124 cites W2273813901 @default.
• W2790032124 cites W2301325126 @default.
• W2790032124 cites W2344190494 @default.
• W2790032124 cites W2345006808 @default.
• W2790032124 cites W2358432708 @default.
• W2790032124 cites W2368784730 @default.
• W2790032124 cites W2410966350 @default.
• W2790032124 cites W2511048114 @default.
• W2790032124 cites W2588223713 @default.
• W2790032124 cites W2592367870 @default.
• W2790032124 cites W2745726220 @default.
• W2790032124 cites W2769614265 @default.
• W2790032124 cites W310536729 @default.
• W2790032124 doi "https://doi.org/10.1016/j.ins.2018.03.021" @default.
• W2790032124 hasPublicationYear "2018" @default.
• W2790032124 type Work @default.
• W2790032124 sameAs 2790032124 @default.
• W2790032124 citedByCount "23" @default.
• W2790032124 countsByYear W27900321242018 @default.
• W2790032124 countsByYear W27900321242019 @default.
• W2790032124 countsByYear W27900321242020 @default.
• W2790032124 countsByYear W27900321242021 @default.
• W2790032124 countsByYear W27900321242022 @default.
• W2790032124 countsByYear W27900321242023 @default.
• W2790032124 crossrefType "journal-article" @default.
• W2790032124 hasAuthorship W2790032124A5042193453 @default.
• W2790032124 hasAuthorship W2790032124A5044961020 @default.
• W2790032124 hasAuthorship W2790032124A5059525096 @default.
• W2790032124 hasAuthorship W2790032124A5074710425 @default.
• W2790032124 hasAuthorship W2790032124A5078547624 @default.
• W2790032124 hasConcept C106159729 @default.
• W2790032124 hasConcept C106487976 @default.
• W2790032124 hasConcept C111110010 @default.
• W2790032124 hasConcept C111771559 @default.
• W2790032124 hasConcept C112680207 @default.
• W2790032124 hasConcept C112972136 @default.
• W2790032124 hasConcept C114614502 @default.
• W2790032124 hasConcept C119857082 @default.
• W2790032124 hasConcept C121332964 @default.
• W2790032124 hasConcept C126255220 @default.
• W2790032124 hasConcept C154945302 @default.
• W2790032124 hasConcept C157972887 @default.
• W2790032124 hasConcept C158693339 @default.
• W2790032124 hasConcept C159985019 @default.
• W2790032124 hasConcept C162324750 @default.
• W2790032124 hasConcept C192562407 @default.
• W2790032124 hasConcept C201829737 @default.
• W2790032124 hasConcept C2524010 @default.
• W2790032124 hasConcept C2775924081 @default.
• W2790032124 hasConcept C2778067643 @default.
• W2790032124 hasConcept C28826006 @default.
• W2790032124 hasConcept C33923547 @default.
• W2790032124 hasConcept C41008148 @default.
• W2790032124 hasConcept C47446073 @default.
• W2790032124 hasConcept C49712288 @default.
• W2790032124 hasConcept C50644808 @default.
• W2790032124 hasConcept C62520636 @default.
• W2790032124 hasConcept C99692599 @default.
• W2790032124 hasConceptScore W2790032124C106159729 @default.
• W2790032124 hasConceptScore W2790032124C106487976 @default.
• W2790032124 hasConceptScore W2790032124C111110010 @default.
• W2790032124 hasConceptScore W2790032124C111771559 @default.
• W2790032124 hasConceptScore W2790032124C112680207 @default.
• W2790032124 hasConceptScore W2790032124C112972136 @default.
• W2790032124 hasConceptScore W2790032124C114614502 @default.
• W2790032124 hasConceptScore W2790032124C119857082 @default.
• W2790032124 hasConceptScore W2790032124C121332964 @default.
• W2790032124 hasConceptScore W2790032124C126255220 @default.

• next