Learning neural networks for detection and classification of synchronous recurrent transient signals.
Erol GelenbeKerem HarmaniotaJeffrey L. KrolikPublished in: Signal Process. (1998)
Keyphrases
- neural network
- pattern recognition
- incremental learning
- unsupervised learning
- supervised learning
- steady state
- reinforcement learning
- learning process
- machine learning
- pattern classification
- learning systems
- feature space
- image classification
- object detection
- artificial neural networks
- feature selection
- learning algorithm
- genetic algorithm
- neyman pearson
- discriminative learning
- radial basis function network
- learning phase
- rule extraction
- neural nets
- classification models
- decision trees
- detection method
- anomaly detection
- bayesian networks
- classification accuracy