Combining Neural Network Regression Estimates with Regularized Linear Weights.
Christopher J. MerzMichael J. PazzaniPublished in: NIPS (1996)
Keyphrases
- neural network
- artificial neural networks
- back propagation
- hidden neurons
- nearest neighbour
- connection weights
- regression model
- pattern recognition
- recurrent neural networks
- linear combination
- activation function
- network model
- regression method
- neural network is trained
- feedforward neural networks
- feed forward neural networks
- fault diagnosis
- support vector regression
- model selection
- weight update
- learning algorithm
- learning vector quantization
- regression algorithm
- rbf neural network
- regression problems
- generalized regression neural network
- weighting scheme
- fuzzy neural network
- regression analysis
- multi layer
- neural network model
- radial basis function
- support vector machine svm
- fuzzy logic
- support vector
- genetic algorithm
- machine learning