A Novel Global Robust Stability Criterion for Neural Networks With Delay
| dc.authorscopusid | 7404651584 | |
| dc.contributor.author | Singh, V | |
| dc.contributor.author | Sıngh, Vımal | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:10:08Z | |
| dc.date.available | 2024-07-05T15:10:08Z | |
| dc.date.issued | 2005 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey | en_US |
| dc.description.abstract | A criterion based on the intervalised network parameters for the global robust stability of Hopfield-type neural networks with delay is presented. The criterion is compared with an earlier criterion. (c) 2005 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.citation | 45 | |
| dc.identifier.doi | 10.1016/j.physleta.2005.02.004 | |
| dc.identifier.endpage | 373 | en_US |
| dc.identifier.issn | 0375-9601 | |
| dc.identifier.issn | 1873-2429 | |
| dc.identifier.issue | 4-6 | en_US |
| dc.identifier.scopus | 2-s2.0-15244346634 | |
| dc.identifier.startpage | 369 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.physleta.2005.02.004 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1261 | |
| dc.identifier.volume | 337 | en_US |
| dc.identifier.wos | WOS:000228141100016 | |
| dc.identifier.wosquality | Q3 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Science Bv | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| 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.subject | Hopfield neural networks | en_US |
| dc.subject | neural networks | en_US |
| dc.title | A Novel Global Robust Stability Criterion for Neural Networks With Delay | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
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