152 search results - page 5 / 31 » Training neural networks with noisy data as an ill-posed pro... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
IJIT
2004
13 years 8 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
IJCAI
1989
13 years 8 months ago
1989
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...