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Ding, Guangwei, Gu, Xingsheng (2023) Supervised sparse preserving projections model based on distributed principal component analysis for chemical process monitoring. The Canadian Journal of Chemical Engineering, 101 (2) 925-943 doi:10.1002/cjce.24417

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Reference TypeJournal (article/letter/editorial)
TitleSupervised sparse preserving projections model based on distributed principal component analysis for chemical process monitoring
JournalThe Canadian Journal of Chemical Engineering
AuthorsDing, GuangweiAuthor
Gu, XingshengAuthor
Year2023 (February)Volume101
Issue2
PublisherWiley
DOIdoi:10.1002/cjce.24417Search in ResearchGate
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Mindat Ref. ID16830689Long-form Identifiermindat:1:5:16830689:5
GUID0
Full ReferenceDing, Guangwei, Gu, Xingsheng (2023) Supervised sparse preserving projections model based on distributed principal component analysis for chemical process monitoring. The Canadian Journal of Chemical Engineering, 101 (2) 925-943 doi:10.1002/cjce.24417
Plain TextDing, Guangwei, Gu, Xingsheng (2023) Supervised sparse preserving projections model based on distributed principal component analysis for chemical process monitoring. The Canadian Journal of Chemical Engineering, 101 (2) 925-943 doi:10.1002/cjce.24417
In(2023, February) The Canadian Journal of Chemical Engineering Vol. 101 (2) Wiley

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