FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3160065980> ?p ?o ?g. }

• W3160065980 endingPage "120959" @default.
• W3160065980 startingPage "120959" @default.
• W3160065980 abstract "Accurate capacity estimation of lithium-ion batteries can improve the safety and reliability of equipment. Deep learning provides a new approach for capacity estimation. However, it is still difficult to adapt to the changes in different stages of capacity degradation due to many and complex parameters in deep structure network and the time-invariant model parameters. Considering that Broad Learning System is a neural network independent of deep structure, which has a simple single hidden layer structure and fewer parameters, this paper proposes an Adaptive Time-shifting Broad Learning System (ATBLS) capacity estimation model. For input layer, the input data of each time step is combined with the output of previous time step to get a new input, so as to provide local information to hidden unit of the network and provide guidance for local parameters. For hidden layer, the hidden unit of each time step is weighted-fused with the hidden unit of previous time step to update the parameters, so as to reflect the long-term dynamics of sequence. The experiment are conducted on three different data sets. And the effectiveness of ATBLS is verified by comparing with other methods." @default.
• W3160065980 created "2021-05-24" @default.
• W3160065980 creator A5036958428 @default.
• W3160065980 creator A5066698826 @default.
• W3160065980 creator A5072183122 @default.
• W3160065980 creator A5074140059 @default.
• W3160065980 creator A5087366755 @default.
• W3160065980 date "2021-09-01" @default.
• W3160065980 modified "2023-10-12" @default.
• W3160065980 title "A method for capacity estimation of lithium-ion batteries based on adaptive time-shifting broad learning system" @default.
• W3160065980 cites W2738226240 @default.
• W3160065980 cites W2759525351 @default.
• W3160065980 cites W2790625295 @default.
• W3160065980 cites W2805129967 @default.
• W3160065980 cites W2885578090 @default.
• W3160065980 cites W2889171365 @default.
• W3160065980 cites W2889174225 @default.
• W3160065980 cites W2896616144 @default.
• W3160065980 cites W2898485094 @default.
• W3160065980 cites W2901287750 @default.
• W3160065980 cites W2915034955 @default.
• W3160065980 cites W2920560441 @default.
• W3160065980 cites W2921068663 @default.
• W3160065980 cites W2922306207 @default.
• W3160065980 cites W2934286352 @default.
• W3160065980 cites W2944571264 @default.
• W3160065980 cites W2966169983 @default.
• W3160065980 cites W2967729973 @default.
• W3160065980 cites W2975620261 @default.
• W3160065980 cites W2980011983 @default.
• W3160065980 cites W2981984647 @default.
• W3160065980 cites W3010853428 @default.
• W3160065980 cites W3018139049 @default.
• W3160065980 cites W3019324730 @default.
• W3160065980 cites W3033088344 @default.
• W3160065980 cites W3035704836 @default.
• W3160065980 cites W3047827241 @default.
• W3160065980 cites W3048997617 @default.
• W3160065980 cites W3049495830 @default.
• W3160065980 cites W3092850543 @default.
• W3160065980 cites W3096022091 @default.
• W3160065980 cites W3096459816 @default.
• W3160065980 cites W3102566467 @default.
• W3160065980 cites W3110205265 @default.
• W3160065980 cites W3111761947 @default.
• W3160065980 cites W3119025527 @default.
• W3160065980 cites W3125035928 @default.
• W3160065980 cites W3137802065 @default.
• W3160065980 doi "https://doi.org/10.1016/j.energy.2021.120959" @default.
• W3160065980 hasPublicationYear "2021" @default.
• W3160065980 type Work @default.
• W3160065980 sameAs 3160065980 @default.
• W3160065980 citedByCount "13" @default.
• W3160065980 countsByYear W31600659802022 @default.
• W3160065980 countsByYear W31600659802023 @default.
• W3160065980 crossrefType "journal-article" @default.
• W3160065980 hasAuthorship W3160065980A5036958428 @default.
• W3160065980 hasAuthorship W3160065980A5066698826 @default.
• W3160065980 hasAuthorship W3160065980A5072183122 @default.
• W3160065980 hasAuthorship W3160065980A5074140059 @default.
• W3160065980 hasAuthorship W3160065980A5087366755 @default.
• W3160065980 hasConcept C108583219 @default.
• W3160065980 hasConcept C119857082 @default.
• W3160065980 hasConcept C121332964 @default.
• W3160065980 hasConcept C154945302 @default.
• W3160065980 hasConcept C163258240 @default.
• W3160065980 hasConcept C41008148 @default.
• W3160065980 hasConcept C43214815 @default.
• W3160065980 hasConcept C50644808 @default.
• W3160065980 hasConcept C62520636 @default.
• W3160065980 hasConceptScore W3160065980C108583219 @default.
• W3160065980 hasConceptScore W3160065980C119857082 @default.
• W3160065980 hasConceptScore W3160065980C121332964 @default.
• W3160065980 hasConceptScore W3160065980C154945302 @default.
• W3160065980 hasConceptScore W3160065980C163258240 @default.
• W3160065980 hasConceptScore W3160065980C41008148 @default.
• W3160065980 hasConceptScore W3160065980C43214815 @default.
• W3160065980 hasConceptScore W3160065980C50644808 @default.
• W3160065980 hasConceptScore W3160065980C62520636 @default.
• W3160065980 hasFunder F4320321001 @default.
• W3160065980 hasLocation W31600659801 @default.
• W3160065980 hasOpenAccess W3160065980 @default.
• W3160065980 hasPrimaryLocation W31600659801 @default.
• W3160065980 hasRelatedWork W2731899572 @default.
• W3160065980 hasRelatedWork W2939353110 @default.
• W3160065980 hasRelatedWork W2961085424 @default.
• W3160065980 hasRelatedWork W3009238340 @default.
• W3160065980 hasRelatedWork W3046775127 @default.
• W3160065980 hasRelatedWork W3215138031 @default.
• W3160065980 hasRelatedWork W4285208911 @default.
• W3160065980 hasRelatedWork W4306674287 @default.
• W3160065980 hasRelatedWork W4321369474 @default.
• W3160065980 hasRelatedWork W4360585206 @default.
• W3160065980 hasVolume "231" @default.
• W3160065980 isParatext "false" @default.
• W3160065980 isRetracted "false" @default.
• W3160065980 magId "3160065980" @default.
• W3160065980 workType "article" @default.