Location of plural defects in conductive plates via neural networks

This paper treats an inverse electrostatic sample problem which is very similar to a real nondestructive testing (NDT) problem. The focus of the paper is on the use of an artificial neural network (ANN) approach. The method here presented aims at detecting and characterising plural defects. The experimental results show the validity of the proposed processing.<
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