Application of a neural network approach and a method based on the theory of random functions for classifying objects by their acoustic emissions
Автор: Kozhakin A.N., Kopeykin R.E., Shadrin A.P.
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 1 т.24, 2022 года.
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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