Kernel Regression and Backpropagation Training With Noise.
Petri KoistinenLasse HolmströmPublished in: NIPS (1991)
Keyphrases
- back propagation
- kernel regression
- training algorithm
- feedforward neural networks
- feed forward neural networks
- backpropagation algorithm
- neural network
- artificial neural networks
- multilayer perceptron neural network
- multilayer neural network
- feed forward
- regression model
- error back propagation
- bp algorithm
- nadaraya watson
- backpropagation neural network
- hidden layer
- bp neural network
- activation function
- multilayer perceptron
- neural nets
- learning algorithm
- linear regression
- regression methods
- backpropagation neural networks
- fuzzy logic
- parameter optimization
- noise level
- multi layer perceptron
- real time
- genetic algorithm
- simulated annealing
- model selection
- parameter estimation
- training process