Novel Global Robust Stability Criterion for Neural Networks With Delay
| dc.contributor.author | Singh, Vimal | |
| dc.contributor.author | Sıngh, Vımal | |
| dc.contributor.author | Sıngh, Vımal | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:11:50Z | |
| dc.date.available | 2024-07-05T15:11:50Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. An example illustrating the improvement of the present criterion over several recently reported criteria is given. (C) 2008 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.chaos.2008.01.001 | |
| dc.identifier.issn | 0960-0779 | |
| dc.identifier.issn | 1873-2887 | |
| dc.identifier.issn | 0375-9601 | |
| dc.identifier.scopus | 2-s2.0-67349096686 | |
| dc.identifier.uri | https://doi.org/10.1016/j.chaos.2008.01.001 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1501 | |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon-elsevier Science Ltd | en_US |
| dc.relation.ispartof | Physics Letters A | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Novel Global Robust Stability Criterion for Neural Networks With Delay | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 7404651584 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| 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 | 353 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 348 | en_US |
| gdc.description.volume | 41 | en_US |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W2022590587 | |
| gdc.identifier.wos | WOS:000267182500036 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 26.0 | |
| gdc.oaire.influence | 6.4360455E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Stability theory of functional-differential equations | |
| gdc.oaire.keywords | Robust stability | |
| gdc.oaire.keywords | Neural networks for/in biological studies, artificial life and related topics | |
| gdc.oaire.keywords | equilibrium analysis | |
| gdc.oaire.keywords | Hopfield neural networks | |
| gdc.oaire.keywords | dynamical interval neural networks | |
| gdc.oaire.keywords | neural networks | |
| gdc.oaire.keywords | Qualitative investigation and simulation of models involving functional-differential equations | |
| gdc.oaire.keywords | Neural nets applied to problems in time-dependent statistical mechanics | |
| gdc.oaire.keywords | global robust stability | |
| gdc.oaire.popularity | 1.3066432E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0103 physical sciences | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 4.78887145 | |
| gdc.openalex.normalizedpercentile | 0.96 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 11 | |
| gdc.plumx.crossrefcites | 10 | |
| gdc.plumx.mendeley | 6 | |
| gdc.plumx.scopuscites | 12 | |
| gdc.scopus.citedcount | 12 | |
| gdc.virtual.author | Sıngh, Vımal | |
| gdc.wos.citedcount | 13 | |
| relation.isAuthorOfPublication | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isAuthorOfPublication | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isAuthorOfPublication | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isAuthorOfPublication.latestForDiscovery | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isOrgUnitOfPublication | e2a6d0b1-378e-4532-82b1-d17cabc56744 | |
| relation.isOrgUnitOfPublication | e2a6d0b1-378e-4532-82b1-d17cabc56744 | |
| relation.isOrgUnitOfPublication | 50be38c5-40c4-4d5f-b8e6-463e9514c6dd | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e2a6d0b1-378e-4532-82b1-d17cabc56744 |