Optimization of type-2 fuzzy weight for neural network using genetic algorithm and particle swarm optimization.
Fernando GaxiolaPatricia MelinFevrier ValdezOscar CastilloPublished in: NaBIC (2013)
Keyphrases
- particle swarm optimization
- genetic algorithm
- neural network
- real coded
- global optimization
- fuzzy logic
- evolutionary strategy
- particle swarm
- global search
- optimization method
- pso algorithm
- differential evolution
- multi objective
- hybrid algorithm
- particle swarm optimization algorithm
- adaptive fuzzy
- fuzzy sets
- fuzzy systems
- parameter optimization
- max min
- fuzzy neural network
- immune genetic algorithm
- metaheuristic
- neural fuzzy
- hybrid intelligent
- fuzzy art
- image reconstruction from projections
- optimization algorithm
- ant colony optimization
- particle swarm optimization pso
- artificial neural networks
- fuzzy comprehensive evaluation
- optimization methods
- fitness function
- evolution strategy
- genetic algorithm ga
- multi population
- back propagation
- membership functions
- bp neural network
- mutation operator
- evolutionary computation
- swarm intelligence
- fuzzy rules
- premature convergence
- fuzzy clustering
- genetic algorithm is applied
- fitness values
- population diversity
- recurrent neural networks
- adaptive resonance theory
- evolutionary algorithm
- neural network model
- rough sets
- simulated annealing
- multi objective optimization
- fuzzy numbers
- pid controller
- inertia weight
- self organizing maps