Matches in SemOpenAlex for { <https://semopenalex.org/work/W3157744356> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3157744356 endingPage "349" @default.
- W3157744356 startingPage "335" @default.
- W3157744356 abstract "In this paper, a data mining based methodology for process identification from historical data was proposed. Thereon, it considers the phases of process understanding, data collection, data preparation, data modeling, and model evaluation. As some parts of historical data are irrelevant, a data selection step, based on the Gaussian Mixture Model (GMM) clustering algorithm, was considered. Additionally, the methodology includes a data informativity step to study the richness of data. In this regard, the condition number (CN) and the extended CN for ridge regression (RR CN) were used. To evaluate the approach, 2 years of industrial thickener historical data were used. Thereafter, data were prepared and an ARX (Auto-Regressive with eXogenous inputs) model structure was adopted to identify the model. To estimate input delays, Granger causality was used. As for fit criteria, least square regression was tested and compared to ridge regression as a less sensitive method to multicollinearity. The results were then evaluated based on the 20-step ahead prediction and compared to existing methods. In this context, the proposed approach gave the best results with an R2 of 98.11% and 62.70% for 1 and 20-step ahead predictions, respectively." @default.
- W3157744356 created "2021-05-10" @default.
- W3157744356 creator A5023367982 @default.
- W3157744356 creator A5063495088 @default.
- W3157744356 creator A5069387411 @default.
- W3157744356 creator A5079080975 @default.
- W3157744356 date "2021-05-03" @default.
- W3157744356 modified "2023-09-24" @default.
- W3157744356 title "A data mining based approach for process identification using historical data" @default.
- W3157744356 cites W1545734857 @default.
- W3157744356 cites W1597576211 @default.
- W3157744356 cites W1606939377 @default.
- W3157744356 cites W1986158219 @default.
- W3157744356 cites W1990606319 @default.
- W3157744356 cites W1994593539 @default.
- W3157744356 cites W1998741188 @default.
- W3157744356 cites W2023067217 @default.
- W3157744356 cites W2034672043 @default.
- W3157744356 cites W2057603117 @default.
- W3157744356 cites W2058904921 @default.
- W3157744356 cites W2077447451 @default.
- W3157744356 cites W2103281268 @default.
- W3157744356 cites W2255137202 @default.
- W3157744356 cites W2278933111 @default.
- W3157744356 cites W2484238174 @default.
- W3157744356 cites W2762605550 @default.
- W3157744356 cites W2799443963 @default.
- W3157744356 cites W2799871693 @default.
- W3157744356 cites W2896385895 @default.
- W3157744356 cites W2904019098 @default.
- W3157744356 cites W2995619225 @default.
- W3157744356 cites W3021444630 @default.
- W3157744356 cites W3033548640 @default.
- W3157744356 cites W4240691156 @default.
- W3157744356 cites W4251533179 @default.
- W3157744356 doi "https://doi.org/10.1080/02286203.2021.1905375" @default.
- W3157744356 hasPublicationYear "2021" @default.
- W3157744356 type Work @default.
- W3157744356 sameAs 3157744356 @default.
- W3157744356 citedByCount "3" @default.
- W3157744356 countsByYear W31577443562022 @default.
- W3157744356 countsByYear W31577443562023 @default.
- W3157744356 crossrefType "journal-article" @default.
- W3157744356 hasAuthorship W3157744356A5023367982 @default.
- W3157744356 hasAuthorship W3157744356A5063495088 @default.
- W3157744356 hasAuthorship W3157744356A5069387411 @default.
- W3157744356 hasAuthorship W3157744356A5079080975 @default.
- W3157744356 hasConcept C105795698 @default.
- W3157744356 hasConcept C116834253 @default.
- W3157744356 hasConcept C119857082 @default.
- W3157744356 hasConcept C124101348 @default.
- W3157744356 hasConcept C151730666 @default.
- W3157744356 hasConcept C152877465 @default.
- W3157744356 hasConcept C189285262 @default.
- W3157744356 hasConcept C2779343474 @default.
- W3157744356 hasConcept C33923547 @default.
- W3157744356 hasConcept C41008148 @default.
- W3157744356 hasConcept C59822182 @default.
- W3157744356 hasConcept C73555534 @default.
- W3157744356 hasConcept C83546350 @default.
- W3157744356 hasConcept C86803240 @default.
- W3157744356 hasConceptScore W3157744356C105795698 @default.
- W3157744356 hasConceptScore W3157744356C116834253 @default.
- W3157744356 hasConceptScore W3157744356C119857082 @default.
- W3157744356 hasConceptScore W3157744356C124101348 @default.
- W3157744356 hasConceptScore W3157744356C151730666 @default.
- W3157744356 hasConceptScore W3157744356C152877465 @default.
- W3157744356 hasConceptScore W3157744356C189285262 @default.
- W3157744356 hasConceptScore W3157744356C2779343474 @default.
- W3157744356 hasConceptScore W3157744356C33923547 @default.
- W3157744356 hasConceptScore W3157744356C41008148 @default.
- W3157744356 hasConceptScore W3157744356C59822182 @default.
- W3157744356 hasConceptScore W3157744356C73555534 @default.
- W3157744356 hasConceptScore W3157744356C83546350 @default.
- W3157744356 hasConceptScore W3157744356C86803240 @default.
- W3157744356 hasIssue "2" @default.
- W3157744356 hasLocation W31577443561 @default.
- W3157744356 hasOpenAccess W3157744356 @default.
- W3157744356 hasPrimaryLocation W31577443561 @default.
- W3157744356 hasRelatedWork W2140423938 @default.
- W3157744356 hasRelatedWork W2361408360 @default.
- W3157744356 hasRelatedWork W2471082825 @default.
- W3157744356 hasRelatedWork W2717946597 @default.
- W3157744356 hasRelatedWork W2992912158 @default.
- W3157744356 hasRelatedWork W3118641393 @default.
- W3157744356 hasRelatedWork W3188410990 @default.
- W3157744356 hasRelatedWork W4225151263 @default.
- W3157744356 hasRelatedWork W4226414007 @default.
- W3157744356 hasRelatedWork W288566741 @default.
- W3157744356 hasVolume "42" @default.
- W3157744356 isParatext "false" @default.
- W3157744356 isRetracted "false" @default.
- W3157744356 magId "3157744356" @default.
- W3157744356 workType "article" @default.