120 search results - page 1 / 24 » A Recurrent Neural Network that Learns to Count |
CONNECTION
1999
13 years 4 months ago
1999
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
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...
CIMCA
2005
IEEE
13 years 10 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...