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Estimation of local SAR level using RBFNN in three‐layer cylindrical human model
Author(s) -
Colak Omer H.,
Polat Ovunc
Publication year - 2008
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.23535
Subject(s) - finite difference time domain method , microwave , specific absorption rate , function (biology) , computer science , artificial neural network , physics , artificial intelligence , optics , telecommunications , biology , evolutionary biology , antenna (radio)
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. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1958–1961, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23535