dc.contributor.author | Arik, S | |
dc.contributor.author | Tavsanoglu, V | |
dc.date.accessioned | 2021-03-02T21:53:49Z | |
dc.date.available | 2021-03-02T21:53:49Z | |
dc.identifier.citation | Arik S., Tavsanoglu V., "Stability analysis of the class of delayed neural networks", 1999 IEEE International Symposium on Circuits and Systems (ISCAS 99), Florida, Amerika Birleşik Devletleri, 30 Mayıs - 02 Haziran 1999, ss.575-578 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_0982a2d3-7771-47a5-8627-3d30e326c083 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/12197 | |
dc.description.abstract | In this paper, we derive several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of rr delayed neural network independently of the delay parameter The results obtained impose constraint conditions on the interconnection matrix of the neural system. | |
dc.language.iso | eng | |
dc.subject | Mühendislik | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Donanım | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | BİLGİSAYAR BİLİMİ, DONANIM VE MİMARLIK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.title | Stability analysis of the class of delayed neural networks | |
dc.type | Bildiri | |
dc.contributor.department | , , | |
dc.contributor.firstauthorID | 122073 | |