Neural network models of eddy current multi-frequency system for nondestructive testing

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