The purpose of this paper is to present new neural network models used for
eddy current multi-frequency system simulation and flaws identification. Fo
rward dynamic neural network models are proposed as the solution of this pr
oblem. The extended experimental verification of the developed technique is
done and the results confirming usability of the models are presented.