Some Remarks on Global Asymptotic Stability of Neural Networks With Constant Time Delay
| dc.contributor.author | Singh, Vimal | |
| dc.date.accessioned | 2024-07-05T14:33:12Z | |
| dc.date.available | 2024-07-05T14:33:12Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | An elegant proof of a previously reported criterion for the uniqueness and global asymptotic stability of the equilibrium point of a class of neural networks with constant time delay is presented. The present proof yields some interesting observations. (c) 2005 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.chaos.2005.12.002 | |
| dc.identifier.issn | 0960-0779 | |
| dc.identifier.issn | 1873-2887 | |
| dc.identifier.scopus | 2-s2.0-33846388250 | |
| dc.identifier.uri | https://doi.org/10.1016/j.chaos.2005.12.002 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/902 | |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon-elsevier Science Ltd | en_US |
| dc.relation.ispartof | Chaos, Solitons & Fractals | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Some Remarks on Global Asymptotic Stability of Neural Networks With Constant Time Delay | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 7404651584 | |
| gdc.bip.impulseclass | C5 | |
| 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 | 1724 | en_US |
| gdc.description.issue | 5 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1720 | en_US |
| gdc.description.volume | 32 | en_US |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W1978780110 | |
| gdc.identifier.wos | WOS:000244504000015 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 4.0 | |
| gdc.oaire.influence | 3.435719E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Stability theory of functional-differential equations | |
| gdc.oaire.keywords | neural network models | |
| gdc.oaire.keywords | stability | |
| gdc.oaire.keywords | Neural networks for/in biological studies, artificial life and related topics | |
| gdc.oaire.keywords | delay functional differential equations | |
| gdc.oaire.popularity | 7.4841267E-10 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0103 physical sciences | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 1.25967426 | |
| gdc.openalex.normalizedpercentile | 0.75 | |
| gdc.opencitations.count | 7 | |
| gdc.plumx.crossrefcites | 7 | |
| gdc.plumx.mendeley | 10 | |
| gdc.plumx.scopuscites | 8 | |
| gdc.scopus.citedcount | 8 | |
| gdc.virtual.author | Sıngh, Vımal | |
| gdc.wos.citedcount | 7 | |
| relation.isAuthorOfPublication | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isAuthorOfPublication.latestForDiscovery | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isOrgUnitOfPublication | e2a6d0b1-378e-4532-82b1-d17cabc56744 | |
| relation.isOrgUnitOfPublication | 50be38c5-40c4-4d5f-b8e6-463e9514c6dd | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e2a6d0b1-378e-4532-82b1-d17cabc56744 |
