559 search results - page 14 / 112 » Neural methods for non-standard data |
ANSS
1998
IEEE
15 years 1 months ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
106
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NN
2002
Springer
14 years 9 months ago
2002
Springer
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
NECO
2002
14 years 9 months ago
2002
The present study introduces information-geometricmeasures to analyze neural ring patterns by taking not only the secondorder but also higher-order interactions among neurons into...
104
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PRL
2000
14 years 9 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...