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Optimal Design of Parameters for the Nanofluid/Ultrasonic Atomization Minimal Quantity Lubrication in a Micromilling Process.

Wei-Tai HuangFu-I ChouJinn-Tsong TsaiTing-Wei LinJyh-Horng Chou
Published in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
  • optimal design
  • maximum likelihood
  • neural network
  • parameter values
  • real world
  • database
  • machine learning
  • information retrieval
  • computer vision
  • process model
  • parameter settings
  • input parameters
  • measured data