Open AccessUsing an ensemble of neural networks trained on an unbalanced sample to classify the state of Internet of Things devices
Author(s) -
Mikhail E. Sukhoparov,
Igor Sikarev,
Т. М. Татарникова,
Ilya Lebedev,
Vladimir V. Karetnikov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2032/1/012085
Subject(s) - computer science , classifier (uml) , random subspace method , artificial intelligence , ensemble learning , artificial neural network , pattern recognition (psychology) , majority rule , sample (material) , machine learning , data mining , chemistry , chromatography