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Neural network model for the efficient calculation of Green's functions in layered media

✍ Scribed by E. A. Soliman; M. A. El-Gamal; A. K. Abdelmageed

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
317 KB
Volume
13
Category
Article
ISSN
1096-4290

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✦ Synopsis

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 method (DCIM). Results show very good agreement with the DCIM, and the trained RBFNs are very fast compared with the corresponding DCIM.

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