35 search results - page 5 / 7 » Dynamics of Learning in Recurrent Feature-Discovery Networks |
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
GECCO
2005
Springer
14 years 2 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...
ESANN
2007
13 years 10 months ago
2007
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
SBRN
2008
IEEE
14 years 2 months ago
2008
IEEE
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
NN
1998
Springer
13 years 8 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...