Estimation of local SAR level using RBFNN in three-layer cylindrical human model

ÇOLAK Ö. H., Polat Ö.

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, cilt.50, sa.7, ss.1958-1961, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 7
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1002/mop.23535
  • Dergi Adı: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1958-1961
  • Anahtar Kelimeler: cylindrical human model, RBFNN, FDTD, PML
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.