Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.
Yan WangChunguang ZhouYanxin HuangXiaoyue FengPublished in: ICONIP (2004)
Keyphrases
- particle swarm optimization
- neural network
- training process
- training algorithm
- pso algorithm
- feed forward neural networks
- feedforward neural networks
- bayesian networks
- pattern recognition
- artificial neural networks
- multi layer perceptron
- dempster shafer
- back propagation
- decision theory
- backpropagation algorithm
- error back propagation
- neural network training
- feed forward
- training examples
- bayesian inference
- global optimization
- fault diagnosis
- fuzzy logic
- genetic algorithm
- particle swarm optimization algorithm
- particle swarm
- neural network model
- swarm intelligence
- multi objective
- training set
- convergence speed
- multi layer
- multilayer perceptron
- training phase
- radial basis function network
- neural network structure
- multilayer neural network
- probability theory
- belief functions
- hidden layer
- neural nets
- uncertain data
- ant colony optimization
- optimization algorithm
- online learning
- supervised learning
- active learning