Reconstruction Electromagnetic Parameters of Dielectric Circular Cylinder Based on BP Neural Networks

In this paper,BP neural network technology is applied to the inverse scattering problem of dielectric circular cylinder,The inverse scattering problem is recast into a regression estimation one by means of the BP neural network.The target scattered electric fields are measured at some points,the amplitude of electric fields scattered by the target are fed into the BP network,whose output are the electromagnetic parameter,after proper training by the L-M training algorithm,the inverse scattering model of dielectric circular cylinder has been setup and the relative dielectric permittivity and the electric conductivity of target being in free-space or half-space are reconstructed in real-time.The results show that this method is effective and efficient and provides a highly efficient solution for the real-time inverse scattering of target