Optimized NDT Database for Training Neural Networks

摘要

Neural network is applied in this work for the nondestructive evaluation of in-material defects using the measured data of an eddy-current testing method. The neural network is trained with the elements of an optimized measurement database. This kind of network performs in defect reconstruction better, than those networks trained with randomly or regularly selected defect prototypes of about the same number.