Compounding General Purpose Membership Functions for Fuzzy Support Vector Machine Under Noisy Environment.
Rahul Kumar SevakulaNishchal K. VermaPublished in: IEEE Trans. Fuzzy Syst. (2017)
Keyphrases
- membership functions
- noisy environments
- fuzzy support vector machine
- general purpose
- fuzzy sets
- fuzzy logic
- fuzzy rules
- noise reduction
- speech recognition
- fuzzy model
- fuzzy clustering
- background noise
- fuzzy membership functions
- fuzzy entropy
- fuzzy controller
- fuzzy reasoning
- rule base
- automatic speech recognition
- fuzzy neural network
- fuzzy inference
- fuzzy partitions
- fuzzy c means
- speech signal
- fuzzy partition
- fuzzy inference system
- genetic optimization
- input variables
- information granulation
- number of input variables
- initial values
- neural network
- fuzzy control
- support vector machine
- data sets
- fuzzy modeling
- information granules
- fuzzy systems
- signal to noise ratio
- fuzzy association rules
- edge detection
- rough sets
- data analysis
- image processing
- interval type fuzzy sets