Solving the problem of classification of material properties using a neural network

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 hardn...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-12, Vol.2131 (3), p.32084
Main Authors: Babushkina, N E, Lyapin, A A
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2131/3/032084