Evolutionary framework for designing adaptive convolutional neural network

Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4152

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DC Field	Value	Language
dc.contributor.author	Mishra, Vidyanand	-
dc.contributor.author	Kane, Lalit	-
dc.date.accessioned	2023-05-02T13:25:17Z	-
dc.date.available	2023-05-02T13:25:17Z	-
dc.date.issued	2023-04-05	-
dc.identifier.issn	0957-4174	-
dc.identifier.uri	http://hdl.handle.net/123456789/4152	-
dc.description	Published in the Expert systems with applications Journal, 224 (2023) \| doi: https://doi.org/10.1016/j.eswa.2023.120032	en_US
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.subject	Published Paper	en_US
dc.subject	Computer Science	en_US
dc.subject	Convolutional neural networks	en_US
dc.subject	Neural Network Design	en_US
dc.subject	Evolutionary Algorithms	en_US
dc.subject	Deep Learning	en_US
dc.subject	Genetic Algorithm	en_US
dc.subject	Particle Swarm Optimization	en_US
dc.subject	Neural Network Optimization	en_US
dc.title	Evolutionary framework for designing adaptive convolutional neural network	en_US
dc.type	Article	en_US
Appears in Collections:	Published papers

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