147 search results - page 1 / 30 » On the weight dynamics of recurrent learning |
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 ...
ESANN
2003
13 years 7 months ago
2003
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
BC
2007
13 years 5 months ago
2007
The dynamics of the learning equation, which describes the evolution of the synaptic weights, is derived in the situation where the network contains recurrent connections. The deri...
ESANN
2003
13 years 7 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
ECAL
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...