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Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation

contributor authorShuai Li
contributor authorYangming Li
date accessioned2020-03-12T18:31:10Z
date available2020-03-12T18:31:10Z
date issued2014
identifier issn2168-2267
identifier other6648717.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/961213?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleNonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation
typeJournal Paper
contenttypeMetadata Only
identifier padid7993973
subject keywordscomputational complexity
subject keywordscontrol theory
subject keywordsgradient methods
subject keywordsrecurrent neural nets
subject keywordstime-varying systems
subject keywordsBartels-Stewart algorithm
subject keywordsZNN
subject keywordsZhang neural network
subject keywordscomplex-valued neural networks
subject keywordscontrol theory
subject keywordsgradient-based recurrent neural networks
subject keywordsmathematics
subject keywordsnonlinear complex-valued activation functions
subject keywordsnonlinearly activated neural network
subject keywordssolving time-varying complex Sylvester equation
subject keywordstime complexity
subject keywordsAcceleration
subject keywordsConvergence
subject keywordsEquations
subject keywordsMathematical model
subject keywordsRecurrent neural networks
subject keywordsSi
identifier doi10.1109/TCYB.2013.2285166
journal titleCybernetics, IEEE Transactions on
journal volume44
journal issue8
filesize8694467
citations0


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