An Accurate Optical Gain Model Using Adaptive Neuro-Fuzzy Inference System

dc.authorscopusid 7003959561
dc.authorscopusid 35770239600
dc.contributor.author Celebi, F. V.
dc.contributor.author Altindag, T.
dc.contributor.other Computer Engineering
dc.contributor.other Computer Engineering
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.citationcount 15
dc.identifier.endpage 977 en_US
dc.identifier.issn 1842-6573
dc.identifier.issue 10 en_US
dc.identifier.scopus 2-s2.0-79955675777
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.institutionauthor Altındağ, Tuğba
dc.language.iso en en_US
dc.publisher Natl inst Optoelectronics en_US
dc.relation.ispartof Optoelectronics and Advanced Materials, Rapid Communications en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 15
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
dc.wos.citedbyCount 14
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery 42959532-c82a-49c9-a166-6cc83eceec21
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