Particle Swarm Optimization with Fuzzy Dynamic Parameters Adaptation for Modular Granular Neural Networks.
Daniela SánchezPatricia MelinOscar CastilloPublished in: EUSFLAT/IWIFSGN (3) (2017)
Keyphrases
- particle swarm optimization
- neural network
- fuzzy logic
- fuzzy sets
- fuzzy inference system
- fuzzy systems
- inertia weight
- pso algorithm
- pattern recognition
- dynamic adaptation
- rule extraction
- maximum likelihood
- fine tuning
- modular neural networks
- fuzzy neural network
- multi layer
- genetic algorithm
- fuzzy rules
- fuzzy inference
- fuzzy art
- parameter values
- membership functions
- fuzzy membership functions
- rough sets
- information granules
- dynamic environments
- granular computing
- particle swarm
- particle swarm optimization algorithm
- soft computing
- hybrid intelligent
- differential evolution
- artificial neural networks
- evolutionary algorithm
- evolutionary strategy
- global optimization
- expectation maximization
- parameter estimation
- fault diagnosis
- fuzzy numbers
- fuzzy controller
- approximate reasoning
- training process
- adaptive resonance theory
- fuzzy clustering
- feed forward
- swarm intelligence