Novelty Detection for Iterative Learning of MIMO Fuzzy Systems.
Jorge Sampaio Silveira JuniorJérôme MendesRui AraújoJoão Ruivo PauloCristiano PremebidaPublished in: INDIN (2021)
Keyphrases
- novelty detection
- fuzzy systems
- iterative learning
- neural network
- computational intelligence
- evolutionary computation
- fuzzy rules
- rule base
- soft computing
- anomaly detection
- fuzzy model
- incremental learning
- fuzzy control
- nonlinear systems
- error reduction
- concept drift
- takagi sugeno
- artificial neural networks
- pattern recognition
- unsupervised learning
- intelligent systems
- evolutionary algorithm
- training set
- stability analysis
- genetic algorithm