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Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and ε-support vector regression.
Xiong Li
Xiaodong Zhao
Wei Pu
Published in:
Int. J. Prod. Res. (2020)
Keyphrases
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support vector regression
dynamic programming
support vector machine svm
neural network
cost function
objective function
prediction model
response surface methodology
machine learning
decision trees
support vector
feature set
hybrid model
forecasting accuracy
influencing factors
cold standby