| dc.creator |
Turhan-Sayan, G. |
|
| dc.creator |
Katilmis, T. T. |
|
| dc.creator |
Ekmekci, Evren |
|
| dc.date |
2009-12-31T22:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:33:32Z |
|
| dc.date.available |
2020-10-06T10:33:32Z |
|
| dc.identifier |
7cfb48b3-49b7-4034-adf0-c5213e95b278 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/7cfb48b3-49b7-4034-adf0-c5213e95b278/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/64372 |
|
| dc.description |
In this study, design of a completely unsupervised electromagnetic target classifier will be described based on the use of Self-Organizing Map (SOM) type artificial neural network training and Wigner distribution (WD) based target feature extraction technique. The suggested classification method will be demonstrated for a target library of four dielectric spheres which have exactly the same size but slightly different permittivity values. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Unsupervised Electromagnetic Target Classification by Self-organizing Map Type Clustering |
|
| dc.type |
info:eu-repo/semantics/conferenceObject |
|