fuzzy cellular automata in pattern recognition
Fuzzy cellular automata in pattern recognition refers to the use of a computational model that employs fuzzy logic principles combined with cellular automata to recognize and classify patterns. This approach allows for uncertainties and imprecisions in data analysis, enabling more flexible and realistic pattern recognition.
Requires login.
Related Concepts (1)
Similar Concepts
- artificial intelligence and cellular automata for pattern recognition
- cellular automata and deep learning for pattern recognition
- cellular automata and genetic algorithms for pattern recognition
- cellular automata and pattern formation
- cellular automata for object recognition
- cellular automata for real-time pattern recognition systems
- cellular automata for shape recognition
- cellular automata for texture analysis and pattern recognition
- cellular automata patterns
- cellular automata-based anomaly detection in pattern recognition
- cellular automata-based feature extraction for pattern recognition
- classification algorithms using cellular automata in pattern recognition
- fuzzy pattern recognition
- object recognition using cellular automata
- pattern recognition with cellular automata models