In this article, neural networks are employed for fast and efficient calculation of Green's functions in a layered medium. Radial basis function networks (RBFNs) are effectively trained to estimate the coefficients and the exponents that represent a Green's function in the discrete complex image met
A new derivation for the coefficients of the scattering dyadic Green′s function in spherically layered media
✍ Scribed by Yonghoon Kim; Heeduck Chae; Sangwook Nam
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 90 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The dyadic Green's function in spherically layered media is considered by assuming that source and field points can be located anywhere. After manipulations from the expression of the dyadic Green's function based on the reflections and transmissions of the scalar waves, the dyadic Green's function in terms of the spherical vector wave functions is newly constructed and also the coefficients of the scattering dyadic Green's function are derived in a simple form. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 1142–1143, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI.10.1002/mop.22374
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