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dc.contributor.authorSong, Hengjie
dc.contributor.authorMiao, Chunyan
dc.contributor.authorShen, Zhiqi
dc.contributor.authorWuyts, Roel
dc.contributor.authorD'Hondt, Maja
dc.contributor.authorCatthoor, Francky
dc.date.accessioned2021-10-19T19:04:01Z
dc.date.available2021-10-19T19:04:01Z
dc.date.issued2011
dc.identifier.issn0925-2312
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/19811
dc.sourceIIOimport
dc.titleA probabilistic fuzzy approach to modeling nonlinear systems
dc.typeJournal article
dc.contributor.imecauthorWuyts, Roel
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.source.peerreviewyes
dc.source.beginpage1008
dc.source.endpage1025
dc.source.journalNeurocomputing
dc.source.issue6
dc.source.volume74
imec.availabilityPublished - imec


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