Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm.
Piotr A. KowalskiTomasz SloczynskiPublished in: FUZZ (2024)
Keyphrases
- pso algorithm
- particle swarm optimization
- neural network
- fuzzy logic
- particle swarm optimization pso
- differential evolution
- global optimization
- particle swarm optimizer
- multilayer perceptron
- particle swarm optimization algorithm
- fuzzy systems
- convergence speed
- fuzzy neural network
- synaptic weights
- particle swarm optimisation
- genetic algorithm
- faster convergence
- fuzzy sets
- optimisation problems
- particle swarm
- multi layer perceptron
- inertia weight
- multi objective
- adaptive particle swarm optimization
- artificial neural networks
- fuzzy rules
- neural network model
- flip flops
- hybrid particle swarm optimization
- membership functions
- optimization algorithm
- back propagation
- pattern recognition
- hybrid pso
- evolutionary computation
- global search
- fault diagnosis
- ant colony optimization
- evolutionary algorithm
- global optimization problems
- fuzzy clustering
- pid controller
- simulated annealing
- computational intelligence
- control system
- fuzzy controller
- optimization method
- radial basis function