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Using some performance parameters to predict exhaust gas emissions of a turboprop engine: adaptive neuro-fuzzy method

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dc.contributor.authorKarakoç, T. Hikmet
dc.contributor.authorIşıl Yazar
dc.contributor.authorT. Hikmet Karakoç
dc.contributor.orcid0000-0002-6821-3366
dc.contributor.orcid0000-0002-8609-3353
dc.contributor.orcid0000-0001-8182-8667
dc.date.accessioned2025-11-13T10:47:12Z
dc.date.issued2016-01-01
dc.identifier.doihttps://doi.org/10.1504/ijsa.2016.076051
dc.identifier.endpage1
dc.identifier.issn2050-0467
dc.identifier.issue1
dc.identifier.openalexW2341357495
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11421/5255
dc.identifier.urihttps://doi.org/10.1504/ijsa.2016.076051
dc.identifier.volume2
dc.language.isoen
dc.relation.ispartofInternational Journal of Sustainable Aviation
dc.rightsrestrictedAccess
dc.subjectAdaptive neuro fuzzy inference system
dc.subjectContext (archaeology)
dc.subjectFuzzy logic
dc.subjectFuzzy inference system
dc.subjectTurboprop
dc.subjectMean squared error
dc.subjectExhaust gas
dc.subjectComputer science
dc.subjectEnvironmental science
dc.subjectData mining
dc.subjectEngineering
dc.subjectAutomotive engineering
dc.subjectArtificial intelligence
dc.subjectMathematics
dc.subjectFuzzy control system
dc.subjectStatistics
dc.subjectWaste management
dc.titleUsing some performance parameters to predict exhaust gas emissions of a turboprop engine: adaptive neuro-fuzzy method
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5031272314

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