A neuro-fuzzy method on blending of materials

dc.contributor.authorÇinar, Ahmet
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2026-08-12T16:12:58Z
dc.date.issued2003
dc.departmentFırat Üniversitesi
dc.description.abstractIn this paper, a neuro-fuzzy technique for blending on the computer environment is proposed. In the classical blending process, while making the blending, the blend region has to know. In this study, blend surfaces are generated by means of neural networks and its control is achieved by fuzzy logic technique. Thus, the full-control blending surface is obtained. A feed forward, unsupervised artificial neural network is employed for computing blend surface. Firstly, the weights on the artificial neural networks is randomly selected and then weight adjustment on the networks is done by fuzzy logic technique. The proposed method is applied to distinct objects as application.
dc.identifier.endpage72
dc.identifier.issn1300-1884
dc.identifier.issue3
dc.identifier.scopus2-s2.0-2342590039
dc.identifier.scopusqualityQ2
dc.identifier.startpage65
dc.identifier.urihttps://hdl.handle.net/11508/42760
dc.identifier.volume18
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectBlending; Feed forward unsupervised artificial neural network model; Fuzzy logic technique
dc.titleA neuro-fuzzy method on blending of materials
dc.title.alternativeNesne kaynaştirma işlemiçin sinirsel-bulanik tekni?i tabanli bir yöntem
dc.typeArticle

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