Title :
Application of neural networks to inverse problems in electromagnetics
Author :
Elshafiey, I. ; Udpa, L. ; Udpa, S.S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
9/1/1994 12:00:00 AM
Abstract :
The paper presents a neural network approach for solving inverse problems in electromagnetics. In general, the measurements of the scattered electromagnetic fields can be related to the properties of the scatterer through integral equations. The energy minimization property of Hopfield neural networks is exploited to solve these integral equations. Results of implementing the method on an application problem involving reconstruction of material properties of multilayered media are presented
Keywords :
Hopfield neural nets; electromagnetic wave scattering; integral equations; inverse problems; Hopfield neural networks; energy minimization property; integral equations; inverse problems; multilayered media; neural network applications; scattered electromagnetic fields; Difference equations; Electromagnetic measurements; Electromagnetic scattering; Hopfield neural networks; Integral equations; Intelligent networks; Inverse problems; Magnetic field measurement; Neural networks; Permittivity measurement;
Journal_Title :
Magnetics, IEEE Transactions on
