Abstract
This paper proposes the use of neural networks for interpreting signals from eddy current probes used in nondestructive testing (NDT). Classification results obtained by implementing a multilayered neural network using the back-propagation algorithm are presented. The merits of this approach as well as a comparison with traditional techniques for the classification of signals are also discussed
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