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Optimization of process parameters on grain size of Fe3O4 nanoparticles by support vector regression.
G. L. Wang
C. Z. Cai
X. J. Zhu
J. F. Pei
F. Q. Yuan
Published in:
NEMS (2011)
Keyphrases
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support vector regression
grain size
optimal parameters
nonlinear regression
optimization algorithm
support vector classification
response surface methodology
regression model
hybrid model
support vector machine
spatial information
electronic equipment