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In this paper, a new pruning algorithm based on grey incidence analysis for feedforward neural networks is presented.The pruned network has the optimal topology with avoiding over training and obtaining good generalization.The removed connections and the incorporated connections are chosen according to the degree of grey incidence of each output sequence of the network units. The simulation results...
This paper presents a Neural Network (NN) based scheme for sizing and classification of defects in Steam Generator (SG) tubes of ferromagnetic material from both measured and simulated Remote Field Eddy Current Testing (RFECT) signals. A novel 2D-3D hybrid database approach of edge FEM method is applied for the rapid computation of RFECT signals due to local defects that is necessary for NN training...
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