Open AccessAPPLICATION OF A NEURAL NETWORK APPROACH AND A METHOD BASED ON THE THEORY OF RANDOM FUNCTIONS FOR CLASSIFYING OBJECTS BY THEIR ACOUSTIC EMISSIONS
Author(s) -
A.N. Kozhakin,
R.E. Kopeykin,
A.P. Shadrin
Publication year - 2022
Publication title -
izvestiâ samarskogo naučnogo centra rossijskoj akademii nauk
Language(s) - English
Resource type - Journals
ISSN - 1990-5378
DOI - 10.37313/1990-5378-2022-24-1-79-87
Subject(s) - artificial neural network , feature (linguistics) , computer science , artificial intelligence , pattern recognition (psychology) , machine learning , philosophy , linguistics
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.