ONE DIMENSIONAL PROFILE RECONSTRUCTION OF DIELECTRIC CYLINDER BY USING NEURAL NETWORK

In this paper, Neural Network (NN) is used for profile reconstruction of dielectric constant of the cylinder. The region is assumed to be filled with dielectric medium of which dielectric constant changes along the radial direction. Radial variation of dielectric constant is represented by Fourier series. Scattered fields, which are obtained by numerically Method of Moments (MoM) technique, and Fourier coefficients are used for training the NN as inputs and outputs respectively. In numerical examples, Scattered fields are applied trained NN, outputs of NN are compared the exact profiles and good reconstructions are observed.