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Optimal Design of Parameters for the Nanofluid/Ultrasonic Atomization Minimal Quantity Lubrication in a Micromilling Process.
Wei-Tai Huang
Fu-I Chou
Jinn-Tsong Tsai
Ting-Wei Lin
Jyh-Horng Chou
Published in:
IEEE Trans. Ind. Informatics (2020)
Keyphrases
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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