A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification.
Katsuhiro HondaKoki KitamoriSeiki UbukataAkira NotsuPublished in: IJCNN (2022)
Keyphrases
- fuzzy inference system
- clustering algorithm
- unsupervised learning
- pattern recognition
- classification algorithm
- machine learning
- feature extraction
- fuzzy rules
- fuzzy logic
- membership functions
- input output
- artificial intelligence
- self organizing maps
- clustering method
- neuro fuzzy
- arbitrary shape
- feature selection
- supervised learning
- data points
- neural fuzzy
- feature space
- fuzzy classifier
- fuzzy if then rules
- real time
- cluster analysis
- support vector machine
- k means
- image processing