Overfitting and Neural Networks: Conjugate Gradient and Backpropagation.
Steve LawrenceC. Lee GilesPublished in: IJCNN (1) (2000)
Keyphrases
- back propagation
- conjugate gradient
- training algorithm
- neural network
- levenberg marquardt
- artificial neural networks
- feed forward
- backpropagation algorithm
- neural nets
- hidden layer
- bp neural network
- multilayer perceptron
- bp algorithm
- fuzzy logic
- feedforward neural networks
- learning algorithm
- decision trees
- backpropagation neural network
- cascade correlation
- cross validation
- neural network ensemble
- activation function
- convergence rate
- radial basis function
- backpropagation neural networks
- multilayer neural network
- genetic algorithm
- artificial intelligence
- recurrent neural networks
- neural network model
- genetic algorithm ga
- fault diagnosis
- model selection
- least squares
- expert systems
- training data
- feature selection