Solving the problem of classification of material properties using a neural network
2021 ◽
Vol 2131
(3)
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pp. 032084
Keyword(s):
Abstract The article sets the task of classifying various materials and determining their belonging to a specified group using a recurrent neural network. The practical significance of the article is to obtain the results of the neural network, confirming the possibility of classifying materials by the hardness parameter using a neural network. As part of the study, a number of experimental measurements were carried out. The structure of the neural network and its main components are described. The statistical parameters of the experimental data are estimated.
Keyword(s):
2019 ◽
Vol 123
◽
pp. 237-245
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1991 ◽
Vol 45
(10)
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pp. 1706-1716
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2018 ◽
Vol 24
(3)
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pp. 467-489
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