FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285107192> ?p ?o ?g. }

• W4285107192 endingPage "14" @default.
• W4285107192 startingPage "1" @default.
• W4285107192 abstract "Molten iron quality (MIQ) indices prediction based on data-driven models is an important way to monitor product quality and smelting status in the blast furnace ironmaking process. However, some challenges still place in the MIQ prediction: 1) limited nonlinear and dynamic description capabilities and interpretability of data-driven models; 2) high demand on the number of the labeled samples; 3) insufficient exploration of the underlying relationship between MIQ indices. In this case, we propose a novel data-driven deep model for the online prediction of MIQ indices. First, we design an attention-wise module to self-learn the nonlinear and dynamic relationship between process variables and prediction targets and enhance interpretability. Then, the minute-level molten iron temperature data detected by our previously developed equipment is used to pre-train the attention-wise deep network to obtain the improved weights and reduce dependence on labeled samples. Finally, the pre-trained model is extended to a structure with a weight-shared attention-wise module and task-separated prediction networks to explore the relationship between multiple prediction tasks. The effectiveness of the proposed attention-wise deep network is verified in an industrial ironmaking plant, which shows a significant improvement in performance, i.e., high accuracy and interpretability." @default.
• W4285107192 created "2022-07-14" @default.
• W4285107192 creator A5013235835 @default.
• W4285107192 creator A5019514727 @default.
• W4285107192 creator A5035923986 @default.
• W4285107192 creator A5054863124 @default.
• W4285107192 creator A5090893698 @default.
• W4285107192 date "2022-01-01" @default.
• W4285107192 modified "2023-09-26" @default.
• W4285107192 title "Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network" @default.
• W4285107192 cites W2023773297 @default.
• W4285107192 cites W2025768430 @default.
• W4285107192 cites W2061054558 @default.
• W4285107192 cites W2062526861 @default.
• W4285107192 cites W2137611688 @default.
• W4285107192 cites W2165700458 @default.
• W4285107192 cites W2313121853 @default.
• W4285107192 cites W2487864044 @default.
• W4285107192 cites W2560260256 @default.
• W4285107192 cites W2624211799 @default.
• W4285107192 cites W2743569640 @default.
• W4285107192 cites W2753520939 @default.
• W4285107192 cites W2757342969 @default.
• W4285107192 cites W2770837308 @default.
• W4285107192 cites W2900732764 @default.
• W4285107192 cites W2919115771 @default.
• W4285107192 cites W2922351830 @default.
• W4285107192 cites W2956566815 @default.
• W4285107192 cites W2972878726 @default.
• W4285107192 cites W3002425145 @default.
• W4285107192 cites W3004699171 @default.
• W4285107192 cites W3005770546 @default.
• W4285107192 cites W3014899889 @default.
• W4285107192 cites W3044397783 @default.
• W4285107192 cites W3102020143 @default.
• W4285107192 cites W3129971022 @default.
• W4285107192 cites W3134254543 @default.
• W4285107192 cites W3135124527 @default.
• W4285107192 cites W3152963531 @default.
• W4285107192 cites W3172814384 @default.
• W4285107192 cites W3186439822 @default.
• W4285107192 cites W3202211186 @default.
• W4285107192 cites W4207078619 @default.
• W4285107192 cites W747162797 @default.
• W4285107192 cites W846459931 @default.
• W4285107192 doi "https://doi.org/10.1109/tim.2022.3185325" @default.
• W4285107192 hasPublicationYear "2022" @default.
• W4285107192 type Work @default.
• W4285107192 citedByCount "1" @default.
• W4285107192 countsByYear W42851071922023 @default.
• W4285107192 crossrefType "journal-article" @default.
• W4285107192 hasAuthorship W4285107192A5013235835 @default.
• W4285107192 hasAuthorship W4285107192A5019514727 @default.
• W4285107192 hasAuthorship W4285107192A5035923986 @default.
• W4285107192 hasAuthorship W4285107192A5054863124 @default.
• W4285107192 hasAuthorship W4285107192A5090893698 @default.
• W4285107192 hasConcept C108583219 @default.
• W4285107192 hasConcept C111472728 @default.
• W4285107192 hasConcept C111919701 @default.
• W4285107192 hasConcept C119857082 @default.
• W4285107192 hasConcept C121332964 @default.
• W4285107192 hasConcept C124101348 @default.
• W4285107192 hasConcept C127413603 @default.
• W4285107192 hasConcept C138885662 @default.
• W4285107192 hasConcept C150899416 @default.
• W4285107192 hasConcept C154945302 @default.
• W4285107192 hasConcept C158622935 @default.
• W4285107192 hasConcept C178790620 @default.
• W4285107192 hasConcept C185592680 @default.
• W4285107192 hasConcept C201995342 @default.
• W4285107192 hasConcept C2779530757 @default.
• W4285107192 hasConcept C2780269488 @default.
• W4285107192 hasConcept C2780451532 @default.
• W4285107192 hasConcept C2781067378 @default.
• W4285107192 hasConcept C41008148 @default.
• W4285107192 hasConcept C45804977 @default.
• W4285107192 hasConcept C62520636 @default.
• W4285107192 hasConcept C98045186 @default.
• W4285107192 hasConceptScore W4285107192C108583219 @default.
• W4285107192 hasConceptScore W4285107192C111472728 @default.
• W4285107192 hasConceptScore W4285107192C111919701 @default.
• W4285107192 hasConceptScore W4285107192C119857082 @default.
• W4285107192 hasConceptScore W4285107192C121332964 @default.
• W4285107192 hasConceptScore W4285107192C124101348 @default.
• W4285107192 hasConceptScore W4285107192C127413603 @default.
• W4285107192 hasConceptScore W4285107192C138885662 @default.
• W4285107192 hasConceptScore W4285107192C150899416 @default.
• W4285107192 hasConceptScore W4285107192C154945302 @default.
• W4285107192 hasConceptScore W4285107192C158622935 @default.
• W4285107192 hasConceptScore W4285107192C178790620 @default.
• W4285107192 hasConceptScore W4285107192C185592680 @default.
• W4285107192 hasConceptScore W4285107192C201995342 @default.
• W4285107192 hasConceptScore W4285107192C2779530757 @default.
• W4285107192 hasConceptScore W4285107192C2780269488 @default.
• W4285107192 hasConceptScore W4285107192C2780451532 @default.
• W4285107192 hasConceptScore W4285107192C2781067378 @default.
• W4285107192 hasConceptScore W4285107192C41008148 @default.
• W4285107192 hasConceptScore W4285107192C45804977 @default.

• next