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This paper gives a brief description of a hierarchical architecture (HONG) that has been described in Atukorale and Suganthan (Neurocomputing 35 (2000) 165). The learning algorithm it uses is a mixed unsupervised/supervised method with most of the learning being unsupervised. The architecture generates multiple classifications for every data pattern presented, and combines them to obtain the final...
A computational inverse technique of neural network (NN) by means of elastic waves to material characterization of functionally graded material (FGM) cylinder is presented. The displacement responses on the outer surface are used as the inputs for the NN model. The outputs of the NN are the material property of FGM cylinder. The analytical-numerical method is used as the forward solver to calculate...
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