Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO.
Fernando GaxiolaPatricia MelinFevrier ValdezJuan R. CastroOscar CastilloPublished in: Appl. Soft Comput. (2016)
Keyphrases
- neural network
- genetic algorithm
- fuzzy logic
- optimization algorithm
- particle swarm optimization pso
- fuzzy systems
- global optimization
- particle swarm
- particle swarm optimization
- max min
- fuzzy membership functions
- fuzzy neural network
- optimization method
- fuzzy art
- pso algorithm
- soft computing
- membership functions
- fuzzy rules
- particle swarm optimization algorithm
- fuzzy sets
- hybrid intelligent
- linear combination
- back propagation
- artificial neural networks
- bp neural network
- highly non linear
- hybrid optimization algorithm
- adaptive resonance theory
- multi objective
- computational intelligence
- fuzzy inference
- rule extraction
- weighted association rule mining
- fuzzy numbers
- genetic algorithm ga
- optimization problems
- hybrid algorithm
- aggregation operators
- fuzzy clustering
- faster convergence
- neural network model
- feed forward
- differential evolution
- weight update
- fault diagnosis
- swarm intelligence
- convergence rate
- fuzzy decision trees
- ant colony optimization
- global search
- fuzzy controller