Artificial neural network for the inverse electromagnetic problem of system identification

Abstract

An approach which is based on the use of artificial neural networks and finite element analysis is used to solve the inverse problem of system identification. The approach is used on a test problem to identify location, material and values of unknown sources within an inaccessible region. A comparison of actual and predicted values of the unknown parameters demonstrates the validity of this approach.<>