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A High-Precision Random Forest-Based Maximum Lyapunov Exponent Prediction Model for Spherical Porous Gas Bearing Systems.
Ping-Huan Kuo
Rong-Mao Lee
Cheng-Chi Wang
Published in:
IEEE Access (2020)
Keyphrases
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high precision
random forest
prediction model
high recall
random forests
regression model
genetic algorithm
computer vision
high accuracy
feature set
multi label
neural network
decision trees
support vector
exponential smoothing