Comments on "global Robust Stability of Delayed Neural Networks"

dc.contributor.author Singh, V
dc.contributor.other Department of Mechatronics Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:09:24Z
dc.date.available 2024-07-05T15:09:24Z
dc.date.issued 2006
dc.description.abstract A recently reported result concerning the global robust stability of the equilibrium point of Hopfield-type delayed neural networks is revisited. It is shown that the result is not always right. en_US
dc.identifier.doi 10.1109/TCSI.2005.855721
dc.identifier.issn 1057-7122
dc.identifier.scopus 2-s2.0-31344435934
dc.identifier.uri https://doi.org/10.1109/TCSI.2005.855721
dc.identifier.uri https://hdl.handle.net/20.500.14411/1169
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.ispartof IEEE Transactions on Circuits and Systems I: Regular Papers
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject dynamical interval neural networks en_US
dc.subject equilibrium analysis en_US
dc.subject global robust stability en_US
dc.title Comments on "global Robust Stability of Delayed Neural Networks" en_US
dc.type Editorial en_US
dspace.entity.type Publication
gdc.author.institutional Sıngh, Vımal
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gdc.description.department Atılım University en_US
gdc.description.departmenttemp Atilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkey en_US
gdc.description.endpage 215 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Diğer en_US
gdc.description.startpage 214 en_US
gdc.description.volume 53 en_US
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 4
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