559 search results - page 17 / 112 » Neural methods for non-standard data |
67
Voted
NN
1998
Springer
14 years 9 months ago
1998
Springer
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
NIPS
2003
14 years 11 months ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
104
Voted
NN
2000
Springer
14 years 9 months ago
2000
Springer
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...