Application of Probabilistic Neural Networks to Eddy Current Non Destructive Test Problems

The aim of this paper is to propose the use of elliptical basis function probabilistic neural networks in automatic defects classification. The aim of classification is to assign a new pattern to a class, on the basis of already classified patterns. In eddy current based inspection, the patterns are sequences of complex voltages whose shape depends on the kind of defect affecting the conductive object under test. 1.