An accurate optical gain model using adaptive neuro-fuzzy inference system
dc.contributor.author | Celebi, F. V. | |
dc.contributor.author | Altindag, T. | |
dc.date.accessioned | 2024-10-06T10:57:40Z | |
dc.date.available | 2024-10-06T10:57:40Z | |
dc.date.issued | 2009 | |
dc.department | Atılım University | en_US |
dc.department-temp | [Celebi, F. V.] Ankara Univ, Dept Comp Engn, TR-06500 Ankara, Turkey; [Altindag, T.] Atilim Univ, Dept Comp Engn, TR-06836 Ankara, Turkey | en_US |
dc.description.abstract | This paper presents a single, simple, new and an accurate optical gain model based on adaptive neuro-fuzzy inference system (ANFIS) which combines the benefits of Artificial Neural Networks (ANNs) and Fuzzy Inference Systems (FISs). The dynamic optical gain model results are in very good agreement with the previously published experimental findings. | en_US |
dc.description.sponsorship | Ankara University [BAP-08Y4343003] | en_US |
dc.description.sponsorship | This study is a part of the Scientific Research Project BAP-08Y4343003 funded by Ankara University. | en_US |
dc.description.woscitationindex | Science Citation Index Expanded | |
dc.identifier.citation | 15 | |
dc.identifier.doi | [WOS-DOI-BELIRLENECEK-505] | |
dc.identifier.endpage | 977 | en_US |
dc.identifier.issn | 1842-6573 | |
dc.identifier.issue | 10 | en_US |
dc.identifier.scopusquality | Q4 | |
dc.identifier.startpage | 975 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14411/8773 | |
dc.identifier.volume | 3 | en_US |
dc.identifier.wos | WOS:000271576800002 | |
dc.identifier.wosquality | Q4 | |
dc.language.iso | en | en_US |
dc.publisher | Natl inst Optoelectronics | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | ANFIS | en_US |
dc.subject | Optimization | en_US |
dc.subject | Modelling | en_US |
dc.subject | Optical gain | en_US |
dc.subject | Laser diodes | en_US |
dc.title | An accurate optical gain model using adaptive neuro-fuzzy inference system | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |