Bunke H., Kandel A.(eds.) Neuro-fuzzy pattern recognition

Singapore: World Scientific, 2001. — 276 p.Methodology: simultaneous feature analysis and system identification in a neuro-fuzzy framework
Neuro-fuzzy model for unsupervised feature extraction with real-life applications
A computational-intelligence-based approach to decision support
Clustering problem using fuzzy C-means algorithms and unsupervised neural networks
Automatic training of min-max classifiers
Granular computing in pattern recognition
ART-based model set for pattern recognition - FasArt family
Speech recognition in a noisy environment based on adaptive noise cancellation and evolving fuzzy neural networks
Neural versus heuristic development of Choquet fuzzy integral fusion algorithms for land mine detection
Automatic segmentation of multi-spectral MR brain images using a neuro-fuzzy algorithm
Vision-based neuro-fuzzy control of autonomous lane following vehicle