Comments on "global Robust Stability of Delayed Neural Networks"

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dc.authorscopusid7404651584
dc.contributor.authorSingh, V
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T15:09:24Z
dc.date.available2024-07-05T15:09:24Z
dc.date.issued2006
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA 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.citationcount4
dc.identifier.doi10.1109/TCSI.2005.855721
dc.identifier.endpage215en_US
dc.identifier.issn1057-7122
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-31344435934
dc.identifier.startpage214en_US
dc.identifier.urihttps://doi.org/10.1109/TCSI.2005.855721
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1169
dc.identifier.volume53en_US
dc.identifier.wosWOS:000234724700020
dc.institutionauthorSıngh, Vımal
dc.language.isoenen_US
dc.publisherIeee-inst Electrical Electronics Engineers incen_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount4
dc.subjectdynamical interval neural networksen_US
dc.subjectequilibrium analysisen_US
dc.subjectglobal robust stabilityen_US
dc.titleComments on "global Robust Stability of Delayed Neural Networks"en_US
dc.typeEditorialen_US
dc.wos.citedbyCount4
dspace.entity.typePublication
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