2924 search results - page 156 / 585 » On the Use of Evidence in Neural Networks |
WSC
1998
15 years 3 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
114
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IWANN
2001
Springer
15 years 6 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
120
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
IWANN
2005
Springer
15 years 7 months ago
2005
Springer
The generalization ability of different sizes architectures with one and two hidden layers trained with backpropagation combined with early stopping have been analyzed. The depend...
113
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ENGL
2007
15 years 1 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...