FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910062924> ?p ?o ?g. }

• W2910062924 abstract "The evolving and nonstationary behavior of realworld data generally generated in streaming way creates serious challenges for learning models. Thus, changes may deteriorate previous decision models accuracy, which requires permanent adaptation strategies. Artificial neural networks have been among the popular choice of adaptation strategies to tackle concept drifting data streams, relying on their online learning capabilities. In this paper, the ability of most known neural networks of the literature to learn from data streams in presence of concept drift will be studied and compared using some meaningful criteria. Their limits will be highlighted using a case-study about the design of decision making aid model to improve the flexibility of electrical grids in presence of distributed Wind-PV renewable energy ressources. Finally, a self-adaptive scheme based on the use of neural networks is proposed in order to avoid these limits." @default.
• W2910062924 created "2019-01-25" @default.
• W2910062924 creator A5021399756 @default.
• W2910062924 creator A5028612749 @default.
• W2910062924 creator A5076106574 @default.
• W2910062924 creator A5087900937 @default.
• W2910062924 date "2018-12-01" @default.
• W2910062924 modified "2023-09-27" @default.
• W2910062924 title "Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources" @default.
• W2910062924 cites W1518949584 @default.
• W2910062924 cites W1585854823 @default.
• W2910062924 cites W1653166509 @default.
• W2910062924 cites W173020513 @default.
• W2910062924 cites W1978717800 @default.
• W2910062924 cites W1988812547 @default.
• W2910062924 cites W1992255375 @default.
• W2910062924 cites W2001474264 @default.
• W2910062924 cites W2004963814 @default.
• W2910062924 cites W2013955970 @default.
• W2910062924 cites W2026316367 @default.
• W2910062924 cites W2031511751 @default.
• W2910062924 cites W2058819611 @default.
• W2910062924 cites W2069100993 @default.
• W2910062924 cites W2081988057 @default.
• W2910062924 cites W2085867967 @default.
• W2910062924 cites W2088654600 @default.
• W2910062924 cites W2088866250 @default.
• W2910062924 cites W2093773675 @default.
• W2910062924 cites W2099419573 @default.
• W2910062924 cites W2108673947 @default.
• W2910062924 cites W2111524978 @default.
• W2910062924 cites W2119507074 @default.
• W2910062924 cites W2134603844 @default.
• W2910062924 cites W2141767566 @default.
• W2910062924 cites W2142187017 @default.
• W2910062924 cites W2160512933 @default.
• W2910062924 cites W2161208102 @default.
• W2910062924 cites W2238599277 @default.
• W2910062924 cites W2344580970 @default.
• W2910062924 cites W2361024996 @default.
• W2910062924 cites W2504058879 @default.
• W2910062924 cites W2505204805 @default.
• W2910062924 cites W2511274580 @default.
• W2910062924 cites W2531502304 @default.
• W2910062924 cites W2536003966 @default.
• W2910062924 cites W2764280542 @default.
• W2910062924 cites W3141735578 @default.
• W2910062924 cites W3167219402 @default.
• W2910062924 cites W614737293 @default.
• W2910062924 cites W772649510 @default.
• W2910062924 cites W976938947 @default.
• W2910062924 doi "https://doi.org/10.1109/icmla.2018.00211" @default.
• W2910062924 hasPublicationYear "2018" @default.
• W2910062924 type Work @default.
• W2910062924 sameAs 2910062924 @default.
• W2910062924 citedByCount "3" @default.
• W2910062924 countsByYear W29100629242021 @default.
• W2910062924 countsByYear W29100629242022 @default.
• W2910062924 crossrefType "proceedings-article" @default.
• W2910062924 hasAuthorship W2910062924A5021399756 @default.
• W2910062924 hasAuthorship W2910062924A5028612749 @default.
• W2910062924 hasAuthorship W2910062924A5076106574 @default.
• W2910062924 hasAuthorship W2910062924A5087900937 @default.
• W2910062924 hasConcept C10558101 @default.
• W2910062924 hasConcept C105795698 @default.
• W2910062924 hasConcept C119599485 @default.
• W2910062924 hasConcept C119857082 @default.
• W2910062924 hasConcept C120314980 @default.
• W2910062924 hasConcept C120665830 @default.
• W2910062924 hasConcept C121332964 @default.
• W2910062924 hasConcept C127413603 @default.
• W2910062924 hasConcept C139807058 @default.
• W2910062924 hasConcept C154945302 @default.
• W2910062924 hasConcept C188573790 @default.
• W2910062924 hasConcept C2780598303 @default.
• W2910062924 hasConcept C33923547 @default.
• W2910062924 hasConcept C41008148 @default.
• W2910062924 hasConcept C50644808 @default.
• W2910062924 hasConcept C60777511 @default.
• W2910062924 hasConcept C89198739 @default.
• W2910062924 hasConceptScore W2910062924C10558101 @default.
• W2910062924 hasConceptScore W2910062924C105795698 @default.
• W2910062924 hasConceptScore W2910062924C119599485 @default.
• W2910062924 hasConceptScore W2910062924C119857082 @default.
• W2910062924 hasConceptScore W2910062924C120314980 @default.
• W2910062924 hasConceptScore W2910062924C120665830 @default.
• W2910062924 hasConceptScore W2910062924C121332964 @default.
• W2910062924 hasConceptScore W2910062924C127413603 @default.
• W2910062924 hasConceptScore W2910062924C139807058 @default.
• W2910062924 hasConceptScore W2910062924C154945302 @default.
• W2910062924 hasConceptScore W2910062924C188573790 @default.
• W2910062924 hasConceptScore W2910062924C2780598303 @default.
• W2910062924 hasConceptScore W2910062924C33923547 @default.
• W2910062924 hasConceptScore W2910062924C41008148 @default.
• W2910062924 hasConceptScore W2910062924C50644808 @default.
• W2910062924 hasConceptScore W2910062924C60777511 @default.
• W2910062924 hasConceptScore W2910062924C89198739 @default.
• W2910062924 hasLocation W29100629241 @default.
• W2910062924 hasOpenAccess W2910062924 @default.
• W2910062924 hasPrimaryLocation W29100629241 @default.

• next