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A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks.
Pei Wang
Xue Dan
Yong Yang
Published in:
Int. J. Distributed Sens. Networks (2019)
Keyphrases
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autoregressive
moving average
empirical mode decomposition
multiscale
image processing
similarity measure
computational complexity
fusion method
pairwise
artificial neural networks
maximum likelihood
non stationary
random fields
machine learning
feature selection
stock market prediction