Login / Signup

Selection of relevant variables for industrial process modeling by combining experimental data sensitivity and human knowledge.

Xiaoguang DengXianyi ZengPhilippe VromanLudovic Koehl
Published in: Eng. Appl. Artif. Intell. (2010)
Keyphrases
  • experimental data
  • human knowledge
  • industrial process
  • relevant variables
  • industrial processes
  • dynamic model
  • boolean functions
  • uniform distribution
  • machine learning
  • decision trees