State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks.
Zhihuo WangAbbas FotouhiDaniel J. AugerPublished in: ECC (2020)
Keyphrases
- recurrent neural networks
- long short term memory
- neural network
- feed forward
- complex valued
- artificial neural networks
- recurrent networks
- cascade correlation
- nonlinear dynamic systems
- feedforward neural networks
- neural model
- hidden layer
- hebbian learning
- reservoir computing
- echo state networks
- machine learning
- real time
- visual cortex
- data mining
- parameter estimation
- dynamic environments
- artificial intelligence