35 search results - page 3 / 7 » Dynamics of Learning in Recurrent Feature-Discovery Networks |
IROS
2009
IEEE
14 years 21 days ago
2009
IEEE
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
IDEAL
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
IJON
2007
13 years 6 months ago
2007
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpli�...
NC
1998
13 years 7 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 ...
BC
2007
13 years 6 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...