Abstract
The paper discusses two self-organizing neural network (NN) architectures, the neural gas network and the Kohonen self-organizing map (SOM) for the adaptive sampling and the reduction of the dimensionality of the set of probing points in the measurement of the nonuniform elastic properties of 3D objects.
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