Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery.
James C. ChenTzu-Li ChenWei-Jun LiuC. C. ChengMeng-Gung LiPublished in: Adv. Eng. Informatics (2021)
Keyphrases
- recurrent neural networks
- empirical mode decomposition
- electric vehicles
- non stationary
- stock market prediction
- signal analysis
- neural network
- recurrent networks
- reservoir computing
- feed forward
- artificial neural networks
- echo state networks
- hilbert huang transform
- complex valued
- multi band
- cascade correlation
- intrinsic mode functions
- nonlinear dynamic systems
- multiresolution