Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load.
Chu WangManfeng DouZhongliang LiRachid OutbibDongdong ZhaoJian ZuoYuanlin WangBin LiangPeng WangPublished in: CoRR (2023)
Keyphrases
- recurrent neural networks
- data driven
- echo state networks
- neural network
- feed forward
- complex valued
- neural model
- artificial neural networks
- dynamic response
- load balancing
- hidden layer
- recurrent networks
- biologically inspired
- non stationary
- training data
- nonlinear dynamic systems
- reservoir computing
- training process
- adaptive neural
- feedforward neural networks
- fault detection
- dynamic environments
- artificial intelligence