MAGAD-BFS: A learning method for Beta fuzzy systems based on a multi-agent genetic algorithm.
Ilhem KallelAdel M. AlimiPublished in: Soft Comput. (2006)
Keyphrases
- fuzzy systems
- genetic algorithm
- multi agent
- reinforcement learning
- artificial neural networks
- computational intelligence
- error rate
- fuzzy rules
- learning capabilities
- evolutionary algorithm
- fuzzy model
- rule base
- clustering method
- fuzzy if then rules
- soft computing
- mathematical model
- data analysis
- feature extraction
- computer vision