Application of a neural network approach and a method based on the theory of random functions for classifying objects by their acoustic emissions

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The article describes the results of the classification of objects by their acoustic emissions using two methods: a neural network approach, as well as a method based on the theory of random functions. The counts of the SPM assessment act as an informative feature.

Digital signal processing, neural networks, machine learning, classification, samples of sde, theory of random functions, matlab

Короткий адрес: https://sciup.org/148324085

IDR: 148324085

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