172 search results - page 2 / 35 » Function Approximation Using Robust Wavelet Neural Networks |
92
Voted
IJCNN
2006
IEEE
15 years 7 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
115
Voted
ESANN
2006
15 years 2 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
110
Voted
ISNN
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
124
Voted
ICMLA
2010
14 years 11 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
78
Voted
IWANN
2005
Springer
15 years 6 months ago
2005
Springer
