dc.contributor.author | Arsan, Taner | |
dc.contributor.author | Öğrenci, Arif Selçuk | |
dc.contributor.author | Saydam, Tuncay | |
dc.date.accessioned | 2019-06-27T08:06:54Z | |
dc.date.available | 2019-06-27T08:06:54Z | |
dc.date.issued | 2006 | |
dc.identifier.isbn | 978-0-7803-9490-2 | |
dc.identifier.issn | 2161-4393 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1241 | |
dc.description.abstract | A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and optimization guidelines are provided and extensively discussed. Qualitative comparisons of neural training strategies have been provided. | en_US] |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | N/A | en_US |
dc.title | A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks | en_US |
dc.type | conferenceObject | en_US |
dc.identifier.startpage | 5275 | en_US |
dc.identifier.endpage | 5280 | |
dc.relation.journal | 2006 IEEE International Joint Conference On Neural Network Proceedings, Vols 1-10 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.wos | WOS:000245125909062 | en_US |
dc.institutionauthor | Arsan, Taner | en_US |
dc.institutionauthor | Öğrenci, Arif Selçuk | en_US |
dc.institutionauthor | Saydam, Tuncay | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |