A data-driven approach based on deep neural networks for lithium-ion battery prognostics.
Ahmet KaraPublished in: Neural Comput. Appl. (2021)
Keyphrases
- neural network
- electric vehicles
- pattern recognition
- back propagation
- data driven
- artificial neural networks
- genetic algorithm
- fuzzy logic
- multi layer
- real time
- fault detection
- feed forward
- neural network model
- energy management
- fuzzy neural network
- hidden layer
- database
- data sets
- multilayer perceptron
- case study
- decision trees
- artificial intelligence
- learning rules
- smart grid
- intelligent control
- databases
- adaptive resonance theory
- high energy