5 search results - page 1 / 1 » Vapnik-Chervonenkis Dimension of Recurrent Neural Networks |
EUROCOLT
1997
Springer
13 years 8 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
A product unit is a formal neuron that multiplies its input values instead of summingthem. Furthermore, it has weights acting as exponents instead of being factors. We investigate...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
NC
1998
13 years 5 months ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...