The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization.
Hirofumi MiyajimaNoritaka ShigeiHiromi MiyajimaPublished in: ICONIP (4) (2016)
Keyphrases
- vector quantization
- fuzzy inference system
- learning algorithm
- image compression
- vector quantizer
- distortion measure
- neuro fuzzy
- fuzzy rules
- fuzzy logic
- input vector
- reduced complexity
- fractal image compression
- machine learning
- genetic algorithm
- membership functions
- information granulation
- neural network
- successive approximation
- fuzzy systems
- fuzzy controller
- fuzzy model
- back propagation
- fuzzy inference
- rule base
- data analysis
- artificial intelligence
- real time
- codebook generation
- finite state vector quantization