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Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system

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dc.contributor.authorYılmaz, Sevcan
dc.contributor.authorOysal, Yusuf
dc.contributor.orcid0000-0002-1736-9942
dc.date.accessioned2025-11-13T10:51:31Z
dc.date.issued2014-06-01
dc.identifier.doihttps://doi.org/10.1109/inista.2014.6873619
dc.identifier.openalexW2050334581
dc.identifier.urihttps://hdl.handle.net/11421/5472
dc.identifier.urihttps://doi.org/10.1109/inista.2014.6873619
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectBroyden–Fletcher–Goldfarb–Shanno algorithm
dc.subjectNonlinear system
dc.subjectComputer science
dc.subjectAdaptive neuro fuzzy inference system
dc.subjectVan der Pol oscillator
dc.subjectSensitivity (control systems)
dc.subjectDynamical systems theory
dc.subjectControl theory (sociology)
dc.subjectAlgorithm
dc.subjectApplied mathematics
dc.subjectFuzzy control system
dc.subjectFuzzy logic
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectEngineering
dc.titleNonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5006954984
local.authorid.openalexA5038809066

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