Microcontroller architectures for battery state of charge prediction with tiny neural networks.
Danilo PauDavide DenaroGiambattista GruossoAchraf SahnounPublished in: ICCE-Berlin (2021)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- pattern recognition
- control system
- fuzzy logic
- low cost
- neural architectures
- prediction algorithm
- prediction error
- neural networks and support vector machines
- back propagation
- neural network ensemble
- data sets
- hardware implementation
- genetic algorithm
- recurrent neural networks
- artificial neural networks
- neural nets
- associative memory
- training process
- multi layer perceptron
- predictive model
- rule extraction
- design considerations
- energy management
- feed forward
- learning algorithm
- artificial intelligence