| dc.creator |
ÇOLAK, ÖMER HALİL |
|
| dc.creator |
Polat, Ovunc |
|
| dc.date |
2008-07-01T00:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:16:09Z |
|
| dc.date.available |
2021-12-03T11:16:09Z |
|
| dc.identifier |
1fec3ed3-288f-4274-a43e-9e68c2eb59c7 |
|
| dc.identifier |
10.1002/mop.23535 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/1fec3ed3-288f-4274-a43e-9e68c2eb59c7/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/90347 |
|
| dc.description |
In this study, we present a new approach based on radial basis function neural networks (RBFNN) for estimation of specific absorption rate (SAR) in 2D cylindrical human model with three layers. The simulation results obtained using RBFNN were compared with the FDTD results. The estimated local SAR values using RBFNN has proved to be an impressive approximation to the FDTD results. (C) 2008 Wiley Periodicals, Inc. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Estimation of local SAR level using RBFNN in three-layer cylindrical human model |
|
| dc.type |
info:eu-repo/semantics/article |
|