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Comparing of deep neural networks and extreme learning machines based on growing and pruning approach

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dc.contributor.authorAkyol, K
dc.date.accessioned2023-04-18T02:57:22Z
dc.date.available2023-04-18T02:57:22Z
dc.date.issued2020.01.01
dc.identifier.doi10.1016/j.eswa.2019.112875
dc.identifier.eissn1873-6793
dc.identifier.endpage
dc.identifier.issn0957-4174
dc.identifier.issue
dc.identifier.startpage
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000495470700009&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10289
dc.identifier.volume140
dc.identifier.wosWOS:000495470700009
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.titleComparing of deep neural networks and extreme learning machines based on growing and pruning approach
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWosf8cdfeea-fd49-40fd-b6a1-a67cd2688ce8
relation.isPublicationOfWos.latestForDiscoveryf8cdfeea-fd49-40fd-b6a1-a67cd2688ce8

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