| dc.contributor.author | Ozcan, Neyir | |
| dc.contributor.author | Yucel, Eylem | |
| dc.contributor.author | Arik, Sabri | |
| dc.date.accessioned | 2021-03-06T11:02:26Z | |
| dc.date.available | 2021-03-06T11:02:26Z | |
| dc.identifier.citation | Ozcan N., Yucel E., Arik S., "A Novel Condition for Robust Stability of Delayed Neural Networks", 22nd International Conference on Neural Information Processing (ICONIP), İstanbul, Türkiye, 9 - 12 Kasım 2015, cilt.9491, ss.273-280 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_ed344794-44bd-4b71-affb-2e338d3b6bc9 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/155714 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-26555-1_31 | |
| dc.description.abstract | This paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homomorphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result. | |
| dc.language.iso | eng | |
| dc.subject | Biyoenformatik | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Bilgisayar Bilimleri | |
| dc.subject | Algoritmalar | |
| dc.subject | BİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Bilgisayar Bilimi | |
| dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
| dc.title | A Novel Condition for Robust Stability of Delayed Neural Networks | |
| dc.type | Bildiri | |
| dc.contributor.department | Bursa Uludağ Üniversitesi , , | |
| dc.identifier.volume | 9491 | |
| dc.contributor.firstauthorID | 145842 | |
