Training neural networks using Central Force Optimization and Particle Swarm Optimization: Insights and comparisons.
Robert C. Green IILingfeng WangMansoor AlamPublished in: Expert Syst. Appl. (2012)
Keyphrases
- particle swarm optimization
- neural network
- population based optimization
- training process
- global optimization
- particle swarm
- training algorithm
- feedforward neural networks
- feed forward neural networks
- global search
- back propagation
- pso algorithm
- artificial neural networks
- backpropagation algorithm
- genetic algorithm
- multi layer perceptron
- swarm intelligence
- optimization algorithm
- recurrent networks
- multi objective
- neural nets
- feed forward
- differential evolution
- optimization method
- pattern recognition
- evolution strategy
- optimization methods
- neural network training
- multi layer
- training data
- particle swarm optimization algorithm
- error back propagation
- highly non linear
- neural network structure
- training set
- optimization problems
- training examples
- evolutionary strategy
- test set
- combinatorial optimization
- particle swarm optimization pso
- training phase
- recurrent neural networks
- self organizing maps
- multilayer perceptron
- multilayer neural network
- data sets