25 search results - page 1 / 5 » RNN with a Recurrent Output Layer for Learning of Naturalnes... |
ICONIP
2007
13 years 6 months ago
2007
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...
NC
1998
13 years 6 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 ...
ESANN
2008
13 years 6 months ago
2008
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
SOFSEM
2004
Springer
13 years 10 months ago
2004
Springer
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...