Evolutionary Computation for Designing Deep Recurrent Neural Networks

Viswambaran, Ramya Anasseriyil

dc.contributor.advisor	Chen, Aaron
dc.contributor.advisor	Xue, Bing
dc.contributor.advisor	Nokooei, Mohammad
dc.contributor.author	Viswambaran, Ramya Anasseriyil
dc.date.accessioned	2023-02-28T02:34:40Z
dc.date.available	2023-02-28T02:34:40Z
dc.date.copyright	2023	en_NZ
dc.date.issued	2023	en_NZ
dc.identifier.uri	https://ir.wgtn.ac.nz/handle/123456789/30604
dc.description.abstract	Abstract to be provided at the end of the withholding period.	en_NZ
dc.language.iso	en_NZ	en_NZ
dc.publisher	Te Herenga Waka—Victoria University of Wellington	en_NZ
dc.rights	This item is not available until 28/02/2024. Please contact the Library for more information.	en_NZ
dc.subject	Long short term memory	en_NZ
dc.subject	Deep learning	en_NZ
dc.subject	Recurrent neural network	en_NZ
dc.title	Evolutionary Computation for Designing Deep Recurrent Neural Networks	en_NZ
dc.type	Text	en_NZ
vuwschema.contributor.unit	School of Engineering and Computer Science	en_NZ
vuwschema.type.vuw	Awarded Doctoral Thesis	en_NZ
thesis.degree.discipline	Computer Science	en_NZ
thesis.degree.grantor	Te Herenga Waka—Victoria University of Wellington	en_NZ
thesis.degree.level	Doctoral	en_NZ
thesis.degree.name	Doctor of Philosophy	en_NZ
dc.subject.course	COMP690	en_NZ
vuwschema.subject.anzsrcforV2	461103 Deep learning	en_NZ
vuwschema.subject.anzsrcforV2	461104 Neural networks	en_NZ
vuwschema.subject.anzsrctoaV2	1 Pure basic research	en_NZ