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Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs

dc.contributor.authorFreiberger, Matthias
dc.contributor.authorSackesyn, Stijn
dc.contributor.authorMa, Chonghuai
dc.contributor.authorKatumba, Andrew
dc.contributor.authorBienstman, Peter
dc.contributor.authorDambre, Joni
dc.date.accessioned2021-10-28T21:46:32Z
dc.date.available2021-10-28T21:46:32Z
dc.date.issued2020-01
dc.identifier.issn1077-260X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35140
dc.sourceIIOimport
dc.titleImproving time series recognition and prediction with networks and ensembles of passive photonic reservoirs
dc.typeJournal article
dc.contributor.imecauthorFreiberger, Matthias
dc.contributor.imecauthorSackesyn, Stijn
dc.contributor.imecauthorMa, Chonghuai
dc.contributor.imecauthorBienstman, Peter
dc.contributor.imecauthorDambre, Joni
dc.contributor.orcidimecFreiberger, Matthias::0000-0003-2101-6274
dc.contributor.orcidimecBienstman, Peter::0000-0001-6259-464X
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage7700611
dc.source.journalIEEE Journal of Selected Topics in Quantum Electronics
dc.source.issue1
dc.source.volume26
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8772153
imec.availabilityPublished - open access


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