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Selection of relevant variables for industrial process modeling by combining experimental data sensitivity and human knowledge.
Xiaoguang Deng
Xianyi Zeng
Philippe Vroman
Ludovic Koehl
Published in:
Eng. Appl. Artif. Intell. (2010)
Keyphrases
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experimental data
human knowledge
industrial process
relevant variables
industrial processes
dynamic model
boolean functions
uniform distribution
machine learning
decision trees