TY  CONF
TI  DATA ANALYSIS IN THE STUDY OF AN INFORMATION SYSTEM FOR DETERMINING WOOD DEFECTS USING A NEURAL NETWORK APPROACH
KW  neural network
KW  GOST 2140-81
KW  GOST 9463-2016
KW  wood defects
KW  dataset
KW  information system
JO  MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2025
AU  Yanchurkina, G.A.
AU  Anikeev, E.A.
PY  2025
PB  FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov