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

dc.contributor.author	Freiberger, Matthias
dc.contributor.author	Sackesyn, Stijn
dc.contributor.author	Ma, Chonghuai
dc.contributor.author	Katumba, Andrew
dc.contributor.author	Bienstman, Peter
dc.contributor.author	Dambre, Joni
dc.contributor.imecauthor	Freiberger, Matthias
dc.contributor.imecauthor	Sackesyn, Stijn
dc.contributor.imecauthor	Ma, Chonghuai
dc.contributor.imecauthor	Bienstman, Peter
dc.contributor.imecauthor	Dambre, Joni
dc.contributor.orcidimec	Freiberger, Matthias::0000-0003-2101-6274
dc.contributor.orcidimec	Bienstman, Peter::0000-0001-6259-464X
dc.date.accessioned	2021-10-28T21:46:32Z
dc.date.available	2021-10-28T21:46:32Z
dc.date.embargo	9999-12-31
dc.date.issued	2020-01
dc.identifier.issn	1077-260X
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/35140
dc.identifier.url	https://ieeexplore.ieee.org/document/8772153
dc.source.beginpage	7700611
dc.source.issue	1
dc.source.journal	IEEE Journal of Selected Topics in Quantum Electronics
dc.source.volume	26
dc.title	Improving time series recognition and prediction with networks and ensembles of passive photonic reservoirs
dc.type	Journal article
dspace.entity.type	Publication
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