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dc.contributor.authorÖztürk, Gürkan
dc.contributor.authorÖztürk, Zehra Kamışlı
dc.contributor.authorIslıer, A. Attila
dc.contributor.editorJiao, L
dc.contributor.editorWang, L
dc.contributor.editorGao, X
dc.date.accessioned2019-10-18T19:26:13Z
dc.date.available2019-10-18T19:26:13Z
dc.date.issued2006
dc.identifier.isbn3-540-45901-4
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/11421/11411
dc.description2nd International Conference on Natural Computation (ICNC 2006) -- SEP 24-28, 2006 -- Xian, PEOPLES R CHINAen_US
dc.descriptionWOS: 000241891600078en_US
dc.description.abstractThe cell formation (CF) problem aims to transform the incidence matrix into block diagonal form. Numerous techniques are developed for this purpose ranging from mathematical programming to heuristic and AI techniques. In this study a simple but effective competitive neural network algorithm (CNN) is applied and compared with genetic algorithms, tabu search, simulated annealing and ant systems by making use of some well known data sets from literature. As a result at 14 out of 15 cases, better results are obtained by CNN.en_US
dc.description.sponsorshipXidian Univ, Natl Nat Sci Fdn China, Int Neural Network Soc, Asia Pacific Neural Network Assembly, IEEE Circuits & Syst Soc, IEEE Computat Intelligence Soc, IEEE Computat Intelligence Singapore Chapter, Chinese Assoc Artificial Intelligenceen_US
dc.language.isoengen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA comparison of competitive neural network with other al techniques in manufacturing cell formationen_US
dc.typeconferenceObjecten_US
dc.relation.journalAdvances in Natural Computation, Pt 1en_US
dc.contributor.departmentAnadolu Üniversitesi, Açıköğretim Fakültesien_US
dc.identifier.volume4221en_US
dc.identifier.startpage575en_US
dc.identifier.endpage583en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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