Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming.

Mehmood, A Zameer, A Ling, SH Rehman, AU Raja, MAZ

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Field	Value	Language
dc.contributor.author	Mehmood, A
dc.contributor.author	Zameer, A
dc.contributor.author	Ling, SH
dc.contributor.author	Rehman, AU
dc.contributor.author	Raja, MAZ
dc.date.accessioned	2020-11-03T01:31:35Z
dc.date.available	2020-11-03T01:31:35Z
dc.date.issued	2020
dc.identifier.citation	Neural Comput. Appl., 2020, 32, pp. 10337-10357
dc.identifier.uri	http://hdl.handle.net/10453/143716
dc.language	en
dc.relation.ispartof	Neural Comput. Appl.
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming.
dc.type	Journal Article
utslib.citation.volume	32
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-11-03T01:31:26Z
pubs.volume	32

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