A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks.
Yoshifusa ItoPublished in: ICANN (2002)
Keyphrases
- neural network
- nonlinear functions
- function approximators
- semi infinite programming
- piecewise linear
- reinforcement learning
- transfer function
- sufficient conditions
- linear approximation
- linear model
- neural nets
- pattern recognition
- piecewise constant
- finite dimensional
- multi layer
- neural network model
- back propagation
- support vector
- artificial neural networks
- learning algorithm
- linearly separable
- data sets
- linear systems
- rbf network
- training process
- recurrent neural networks
- multilayer perceptron
- self organizing maps
- fuzzy logic