Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
John Yannis GoulermasPanos LiatsisXiao-Jun ZengPhil CookPublished in: IEEE Trans. Neural Networks (2007)
Keyphrases
- function approximation
- generalized regression neural network
- neural network
- artificial neural networks
- radial basis function
- support vector regression
- function approximators
- reinforcement learning
- wavelet neural network
- back propagation neural network
- learning tasks
- multiple linear regression
- temporal difference
- temporal difference learning algorithms
- mackey glass
- pattern recognition
- temporal difference learning
- bp neural network
- regression model
- model free
- rbfnn
- support vector
- genetic algorithm
- rbf network
- back propagation
- reinforcement learning algorithms
- fuzzy logic
- decision trees
- machine learning
- td learning
- e learning