Open AccessUsing Random Forest to Interpret Out-of-Control Signals
Author(s) -
Esteban Alfaro,
José Luis Alfaro Navarro,
Matías Gámez,
Noelia García
Publication year - 2020
Publication title -
acta polytechnica hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 34
eISSN - 2064-2687
pISSN - 1785-8860
DOI - 10.12700/aph.17.6.2020.6.7
Subject(s) - random forest , computer science , artificial neural network , statistical process control , process (computing) , quality (philosophy) , control chart , data mining , multivariate statistics , range (aeronautics) , control (management) , variable (mathematics) , random variable , machine learning , artificial intelligence , statistics , mathematics , engineering , mathematical analysis , philosophy , epistemology , aerospace engineering , operating system
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