Parameter determination and feature selection for back-propagation network by particle swarm optimization.
Shih-Wei LinShih-Chieh ChenWen-Jie WuChih-Hsien ChenPublished in: Knowl. Inf. Syst. (2009)
Keyphrases
- back propagation
- connection weights
- particle swarm optimization
- feature selection
- parameter determination
- bp network
- radial basis
- artificial neural networks
- neural network
- multilayer neural network
- feed forward
- bp neural network
- bp algorithm
- multilayer perceptron
- hidden layer
- training algorithm
- feed forward neural networks
- fuzzy logic
- activation function
- neural nets
- learning algorithm
- genetic algorithm
- feedforward neural networks
- pso algorithm
- model selection
- multilayer perceptron neural network
- hidden nodes
- cascade correlation
- wavelet neural network
- particle swarm optimization algorithm
- network architecture
- feature extraction
- machine learning
- radial basis function neural network
- rbf network
- output layer
- error back propagation
- fuzzy neural network
- levenberg marquardt
- global optimization
- differential evolution
- fitness function
- evolutionary algorithm
- hidden neurons
- support vector
- knowledge base