Special issue: Theoretical analysis of deep learning editorial

Huang, T Li, C Wen, S

He, X Wen, G

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Field	Value	Language
dc.contributor.author	Huang, T
dc.contributor.author	Li, C
dc.contributor.author	Wen, S https://orcid.org/0000-0002-5048-0319
dc.contributor.author	He, X
dc.contributor.author	Wen, G
dc.date.accessioned	2021-03-11T04:12:12Z
dc.date.available	2021-03-11T04:12:12Z
dc.date.issued	2020-11-27
dc.identifier.citation	Neurocomputing, 2020, 416, pp. 45-46
dc.identifier.issn	0925-2312
dc.identifier.issn	1872-8286
dc.identifier.uri	http://hdl.handle.net/10453/147035
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Neurocomputing
dc.relation.isbasedon	10.1016/j.neucom.2019.06.037
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Special issue: Theoretical analysis of deep learning editorial
dc.type	Journal Article
utslib.citation.volume	416
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-03-11T04:12:11Z
pubs.publication-status	Published
pubs.volume	416

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