268 search results - page 5 / 54 » A Framework for Grid-based Neural Networks |
ESANN
2006
14 years 11 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...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
IJCNN
2006
IEEE
15 years 3 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...
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
NN
2007
Springer
14 years 9 months ago
2007
Springer
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...