| dc.contributor.author | KABAOĞLU, NİHAT | |
| dc.contributor.author | Kabaoglu, Rana Ortac | |
| dc.date.accessioned | 2021-03-06T09:54:35Z | |
| dc.date.available | 2021-03-06T09:54:35Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | KABAOĞLU N., Kabaoglu R. O. , "An Analysis of the Effects of SVM Parameters on the Dead-Time System Modeling", ELECTRICA, cilt.18, ss.1-5, 2018 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_e7c3b802-7c3b-4563-ab35-022259e738b6 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/152367 | |
| dc.identifier.uri | https://doi.org/10.5152/iujeee.2018.1801 | |
| dc.description.abstract | Modeling a dead-time system is a common issue in engineering applications. To address this issue, existing research has employed neural networks and fuzzy logic-based intelligent systems. Herein, a dead-time system modeled with the aid of support vector machine regression, which has a good generalization feature, was investigated. The performance of the method proposed herein was examined with different parameters in linear and nonlinear dead-time systems. | |
| dc.language.iso | eng | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Sinyal İşleme | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Mühendislik | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.title | An Analysis of the Effects of SVM Parameters on the Dead-Time System Modeling | |
| dc.type | Makale | |
| dc.relation.journal | ELECTRICA | |
| dc.contributor.department | İstanbul Medeniyet Üniversitesi , Mühendislik Ve Doğa Bilimleri Fakültesi , Elektrik Elektronik Mühendisliği | |
| dc.identifier.volume | 18 | |
| dc.identifier.issue | 1 | |
| dc.identifier.startpage | 1 | |
| dc.identifier.endpage | 5 | |
| dc.contributor.firstauthorID | 249214 | |
