152 search results - page 2 / 31 » Training neural networks with noisy data as an ill-posed pro... |
IAJIT
2010
13 years 4 months ago
2010
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
NN
2000
Springer
13 years 5 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
MCS
2006
Springer
13 years 5 months ago
2006
Springer
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
FLAIRS
2006
13 years 7 months ago
2006
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...