| dc.contributor.author | Germen, Emin | |
| dc.date.accessioned | 2019-10-21T20:41:02Z | |
| dc.date.available | 2019-10-21T20:41:02Z | |
| dc.date.issued | 2005 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20626 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/11539087_43 | en_US |
| dc.description | Ziangtan University | en_US |
| dc.description | First International Conference on Natural Computation, ICNC 2005 -- 27 August 2005 through 29 August 2005 -- Changsha -- 65820 | en_US |
| dc.description.abstract | The performance of Self Organizing Map (SOM) is always influenced by learn methods. The resultant quality of the topological formation of the SOM is also highly dependent onto the learning rate and the neighborhood function. In literature, there are plenty of studies to find a proper method to improve the quality of SOM. However, a new term "stiffness factor" has been proposed and was used in SOM training in this paper. The effect of the stiffness factor has also been tested with a real-world problem and got positive influence | en_US |
| dc.language.iso | eng | en_US |
| dc.relation.isversionof | 10.1007/11539087_43 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Improving the resultant quality of Kohonen's self organizing map using stiffness factor | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | Lecture Notes in Computer Science | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 3610 | en_US |
| dc.identifier.issue | PART I | en_US |
| dc.identifier.startpage | 353 | en_US |
| dc.identifier.endpage | 357 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Germen, Emin | |
