Training Neural Networks Using Multiobjective Particle Swarm Optimization.
John Paul Tan YusiongProspero C. Naval Jr.Published in: ICNC (1) (2006)
Keyphrases
- multi objective
- particle swarm optimization
- neural network
- training process
- pso algorithm
- genetic algorithm
- evolutionary algorithm
- optimization algorithm
- training algorithm
- particle swarm
- feedforward neural networks
- global optimization
- multi objective optimization
- backpropagation algorithm
- differential evolution
- particle swarm optimization algorithm
- objective function
- back propagation
- nsga ii
- multiobjective optimization
- error back propagation
- neural network structure
- particle swarm optimization pso
- multiple objectives
- feed forward neural networks
- conflicting objectives
- multi layer
- metaheuristic
- multi layer perceptron
- swarm intelligence
- multi objective problems
- training samples
- bi objective
- neural network training
- multi swarm
- convergence speed
- fuzzy systems
- artificial neural networks
- pattern recognition
- feed forward
- inertia weight
- neural network model
- ant colony optimization
- training set
- multiobjective evolutionary algorithms
- multiobjective genetic algorithm
- pareto optimal
- recurrent neural networks
- fuzzy logic
- training data