Modality of Adaptive Neuro-Fuzzy Classifier for Acoustic Signal-Based Traffic Density State Estimation Employing Linguistic Hedges for Feature Selection.
Prashant BorkarMilindkumar V. SarodeLatesh G. MalikPublished in: Int. J. Fuzzy Syst. (2016)
Keyphrases
- state estimation
- fuzzy classifier
- acoustic signal
- feature selection
- neuro fuzzy
- adaptive learning
- fuzzy rules
- kalman filter
- pattern classification
- feature set
- particle filter
- kalman filtering
- dynamic systems
- particle filtering
- visual tracking
- traffic density
- neural network
- classification accuracy
- dimensionality reduction
- feature space
- fuzzy logic
- evolutionary algorithm
- support vector
- machine learning
- genetic algorithm ga
- optimal solution
- fuzzy membership functions
- feature extraction
- real time