Sequential modeling of a low noise amplifier with neural networks and active learning.
Dirk GorissenLuciano De TommasiKarel CrombecqTom DhaenePublished in: Neural Comput. Appl. (2009)
Keyphrases
- neural network
- active learning
- low signal to noise ratio
- high noise
- high sensitivity
- pattern recognition
- fuzzy logic
- labeled data
- missing data
- signal to noise ratio
- random sampling
- additive noise
- random noise
- artificial neural networks
- hybrid models
- training set
- fault diagnosis
- self organizing maps
- neural network model
- neural nets