Parallel nonlinear optimization techniques for training neural networks.
Paul Kang-Hoh PhuaDaohua MingPublished in: IEEE Trans. Neural Networks (2003)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- artificial neural networks
- backpropagation algorithm
- training phase
- data sets
- multi layer perceptron
- back propagation
- auto associative
- test set
- training examples
- neural network structure
- fuzzy logic
- neural network controller
- pattern recognition
- nonlinear dynamic systems
- neural network training
- training samples
- training set
- parallel computing
- multi layer
- activation function
- optimization methods
- neural network model
- distributed memory
- cellular neural networks
- fault diagnosis
- training patterns
- optimization problems
- supervised learning
- support vector machine
- weight update