172 search results - page 5 / 35 » Function Approximation Using Robust Wavelet Neural Networks |
ESANN
1998
13 years 9 months ago
1998
We describe a new approach to real time learning of unknown functions based on an interpolating wavelet estimation. We choose a subfamily of a wavelet basis relying on nested hiera...
ISNN
2004
Springer
14 years 28 days ago
2004
Springer
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
JMIV
2010
13 years 2 months ago
2010
This paper proposes robust algorithms to deconvolve discrete noised signals and images. The solutions are derived as linear combinations of spline wavelet packets that minimize so...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
ESANN
2004
13 years 9 months ago
2004
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...