| dc.contributor.author | Arik, Sabri | |
| dc.contributor.author | ORMAN, Zeynep | |
| dc.date.accessioned | 2021-03-04T07:56:59Z | |
| dc.date.available | 2021-03-04T07:56:59Z | |
| dc.identifier.citation | Arik S., ORMAN Z., "Global stability analysis of Cohen-Grossberg neural networks with time varying delays", PHYSICS LETTERS A, cilt.341, ss.410-421, 2005 | |
| dc.identifier.issn | 0375-9601 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_60b98eb1-0093-4eb6-b8ee-3a87e91780a6 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/67475 | |
| dc.identifier.uri | https://doi.org/10.1016/j.physleta.2005.04.095 | |
| dc.description.abstract | This Letter presents some sufficient conditions for the existence, uniqueness and global asymptotic and exponential stability of the equilibrium point for Cohen-Grossberg neural networks with time delays. The results establish a relationship between the network parameters of the neural system independently of the delay parameters. The results are also compared with the previously reported results in the literature. (c) 2005 Elsevier B.V. All rights reserved. | |
| dc.language.iso | eng | |
| dc.subject | Fizik | |
| dc.subject | Temel Bilimler | |
| dc.subject | FİZİK, MULTİDİSİPLİNER | |
| dc.subject | Disiplinlerarası Fizik ve İlgili Bilim ve Teknoloji Alanları | |
| dc.subject | Temel Bilimler (SCI) | |
| dc.title | Global stability analysis of Cohen-Grossberg neural networks with time varying delays | |
| dc.type | Makale | |
| dc.relation.journal | PHYSICS LETTERS A | |
| dc.contributor.department | İstanbul Üniversitesi , Mühendislik Fakültesi , Bilgisayar Mühendisliği | |
| dc.identifier.volume | 341 | |
| dc.identifier.startpage | 410 | |
| dc.identifier.endpage | 421 | |
| dc.contributor.firstauthorID | 57550 | |
