dc.contributor.author | Öztürk, Gürkan | |
dc.contributor.author | Öztürk, Zehra Kamışlı | |
dc.contributor.author | Islıer, A. A. | |
dc.date.accessioned | 2019-10-18T19:26:15Z | |
dc.date.available | 2019-10-18T19:26:15Z | |
dc.date.issued | 2006 | |
dc.identifier.isbn | 3540459014 -- 9783540459019 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://hdl.handle.net/11421/11428 | |
dc.description | 2nd International Conference on Natural Computation, ICNC 2006 -- 24 September 2006 through 28 September 2006 -- Xi'an -- 68420 | en_US |
dc.description.abstract | The 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.language.iso | eng | en_US |
dc.publisher | Springer Verlag | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Ai Techniques | en_US |
dc.subject | Cell Formation | en_US |
dc.subject | Cellular Manufacturing | en_US |
dc.subject | Competitive Neural Network | en_US |
dc.title | A comparison of competitive neural network with other AI techniques in manufacturing cell formation | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.contributor.department | Anadolu Üniversitesi, Açıköğretim Fakültesi | en_US |
dc.identifier.volume | 4221 LNCS - I | en_US |
dc.identifier.startpage | 575 | en_US |
dc.identifier.endpage | 583 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |