Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/103702
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Souza, Francisco | - |
dc.contributor.author | Mendes, Jérôme | - |
dc.contributor.author | Araújo, Rui | - |
dc.date.accessioned | 2022-11-22T11:02:10Z | - |
dc.date.available | 2022-11-22T11:02:10Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2076-3417 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/103702 | - |
dc.description.abstract | This paper proposes the use of a regularized mixture of linear experts (MoLE) for predictive modeling in multimode-multiphase industrial processes. For this purpose, different regularized MoLE were evaluated, namely, through the elastic net (EN), Lasso, and ridge regression (RR) penalties. Their performances were compared when trained with different numbers of samples, and in comparison to other nonlinear predictive models. The models were evaluated on real multiphase polymerization process data. The Lasso penalty provided the best performance among all regularizers for MoLE, even when trained with a small number of samples. | pt |
dc.language.iso | eng | pt |
dc.publisher | MDPI | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | multimode process | pt |
dc.subject | multiphase process | pt |
dc.subject | mixture of experts | pt |
dc.subject | polymerization | pt |
dc.title | A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes | pt |
dc.type | article | - |
degois.publication.firstPage | 2040 | pt |
degois.publication.issue | 5 | pt |
degois.publication.title | Applied Sciences (Switzerland) | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.3390/app11052040 | pt |
degois.publication.volume | 11 | pt |
dc.date.embargo | 2021-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | Com Texto completo | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.researchunit | ISR - Institute of Systems and Robotics | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.orcid | 0000-0003-4616-3473 | - |
crisitem.author.orcid | 0000-0002-1007-8675 | - |
Appears in Collections: | FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais I&D ISR - Artigos em Revistas Internacionais |
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A-regularized-mixture-of-linear-experts-for-quality-prediction-in-multimode-and-multiphase-industrial-processesApplied-Sciences-Switzerland.pdf | 510.17 kB | Adobe PDF | View/Open |
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